Journal articles on the topic 'Image trustworthiness'

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1

Hu, Donghui, Xiaotian Zhang, Yuqi Fan, Zhong-Qiu Zhao, Lina Wang, Xintao Wu, and Xindong Wu. "On digital image trustworthiness." Applied Soft Computing 48 (November 2016): 240–53. http://dx.doi.org/10.1016/j.asoc.2016.07.010.

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Lago, Federica, Quoc-Tin Phan, and Giulia Boato. "Visual and Textual Analysis for Image Trustworthiness Assessment within Online News." Security and Communication Networks 2019 (April 14, 2019): 1–14. http://dx.doi.org/10.1155/2019/9236910.

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The majority of news published online presents one or more images or videos, which make the news more easily consumed and therefore more attractive to huge audiences. As a consequence, news with catchy multimedia content can be spread and get viral extremely quickly. Unfortunately, the availability and sophistication of photo editing software are erasing the line between pristine and manipulated content. Given that images have the power of bias and influence the opinion and behavior of readers, the need of automatic techniques to assess the authenticity of images is straightforward. This paper aims at detecting images published within online news that have either been maliciously modified or that do not represent accurately the event the news is mentioning. The proposed approach composes image forensic algorithms for detecting image tampering, and textual analysis as a verifier of images that are misaligned to textual content. Furthermore, textual analysis can be considered as a complementary source of information supporting image forensics techniques when they falsely detect or falsely ignore image tampering due to heavy image postprocessing. The devised method is tested on three datasets. The performance on the first two shows interesting results, with F1-score generally higher than 75%. The third dataset has an exploratory intent; in fact, although showing that the methodology is not ready for completely unsupervised scenarios, it is possible to investigate possible problems and controversial cases that might arise in real-world scenarios.
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Kristian, Galih. "Pengaruh Brand Ambassador Dan Brand Image Terhadap Keputusan Pembelian Dengan Trustworthiness Sebagai Variabel Intervening." Jurnal Ilmiah Manajemen Kesatuan 9, no. 3 (November 29, 2021): 41–50. http://dx.doi.org/10.37641/jimkes.v9i3.570.

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This study aims to determine the effect of brand ambassador and brand image on purchasing decisions with trustworthiness as an intervening variable in the Yogyakarta Starcross distribution. the type of research used in this research is descriptive quantitative. The population used is the customer of the Starcross Yogyakarta distribution as many as 100 people. The sample used in this study is 100 customers using the sampling technique used is non-probability sampling using a data collection method using a questionnaire. The data analysis technique in this study used multiple linear regression. Based on the results of this study, brand ambassadors have a significant positive effect on purchasing decisions, brand image has a significant positive effect on purchasing decisions, brand ambassadors have a significant positive effect on trustworthiness, brand image has a significant positive effect on trustworthiness, trustworthiness has a significant positive effect on purchasing decisions. In this case, trustworthiness as an intervening variable is able to mediate the relationship between brand ambassadors on purchasing decisions, and brand image on purchasing decisions.
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Saenger, Christina, and Doori Song. "Fostering beneficial consumer responses to in-feed sponsored articles." Journal of Consumer Marketing 36, no. 5 (August 12, 2019): 643–54. http://dx.doi.org/10.1108/jcm-12-2017-2475.

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Purpose This paper aims to explore content-related factors that can foster beneficial consumer responses to one kind of native advertising: in-feed sponsored articles. Specifically, studies examine how informational versus entertaining content interact with the content’s brand image congruity to affect brand attitudes through brand trustworthiness and identify the roles played by advertising value and perceived deceptiveness. Design/methodology/approach Experimental survey-based research with a between-subjects design was conducted, manipulating the content type (entertaining/informational) and brand image congruity (low/high) and measuring brand attitude, brand trustworthiness, advertising value and perceived deceptiveness. Participants were recruited via Amazon’s MTurk, and data were collected via online surveys in Qualtrics. Findings Results reveal that high brand image congruity generates more favorable brand attitudes for informational in-feed sponsored articles, and low brand image congruity generates more favorable brand attitudes for entertaining in-feed sponsored articles, through perceptions of brand trustworthiness. Enhanced brand trustworthiness results from increased advertising value for informational in-feed sponsored articles that are high in brand image congruity. Reduced brand trustworthiness results from increased perceptions of deceptiveness for entertaining in-feed sponsored articles that are high in brand image congruity. Originality/value While much academic research on native advertising focuses on its negative aspects, the present research identifies content-related factors that foster beneficial consumer responses to in-feed sponsored articles, including enhanced perceptions of brand trustworthiness and more favorable brand attitudes, due to differences in consumers’ perceptions of advertising value and deceptiveness. Managerially, this work can help branded content creators design effective in-feed sponsored articles.
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Shen, Cuihua, Mona Kasra, Wenjing Pan, Grace A. Bassett, Yining Malloch, and James F. O’Brien. "Fake images: The effects of source, intermediary, and digital media literacy on contextual assessment of image credibility online." New Media & Society 21, no. 2 (September 24, 2018): 438–63. http://dx.doi.org/10.1177/1461444818799526.

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Fake or manipulated images propagated through the Web and social media have the capacity to deceive, emotionally distress, and influence public opinions and actions. Yet few studies have examined how individuals evaluate the authenticity of images that accompany online stories. This article details a 6-batch large-scale online experiment using Amazon Mechanical Turk that probes how people evaluate image credibility across online platforms. In each batch, participants were randomly assigned to 1 of 28 news-source mockups featuring a forged image, and they evaluated the credibility of the images based on several features. We found that participants’ Internet skills, photo-editing experience, and social media use were significant predictors of image credibility evaluation, while most social and heuristic cues of online credibility (e.g. source trustworthiness, bandwagon, intermediary trustworthiness) had no significant impact. Viewers’ attitude toward a depicted issue also positively influenced their credibility evaluation.
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Marselina, Dian, and Edward H. Siregar. "Pengaruh Celebrity Endorser terhadap Brand Image pada Kosmetik Wardah di Bogor." Jurnal Manajemen dan Organisasi 8, no. 1 (November 3, 2017): 15–27. http://dx.doi.org/10.29244/jmo.v8i1.18598.

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PT Paragon Technology and Innovation merupakan salah satu perusahaan lokal yang bergerak di bidang produksi kosmetik yang menggunakan celebrity endorser sebagai pendukung dalam kegiatan promosinya. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh celebrity endorser terhadap brand image, atribut celebrity endorser yang meliputi trustworthiness, expertise, attractiveness, respect dan similarity dari endorser Wardah yang bernama Inneke Koesherawati (IK). Penelitian ini menggunakan teknik purposive sampling di wilayah Bogor Tengah dan Bogor Barat. Penelitian diuji dengan menggunakan metode analisis regresi linier berganda dilengkapi dengan uji F dan uji T. Hasil analisis menunjukkan bahwa variabel independen yaitu trustworthiness, expertise, attractiveness, respect dan similarity secara bersama-sama berpengaruh signifikan terhadap brand image Wardah. Secara parsial hanya tiga variabel yaitu trustworthiness, attractiveness and similarity yang berpengaruh signifikan terhadap brand image Wardah. Variabel attractiveness memiliki pengaruh yang dominan terhadap brand image Wardah.
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Rosa, Aslamia, Iisnawati Iisnawati, and Islahuddin Daud. "Key Factors Analysis of E-Commerce and Marketplace Purchasing Decision in Palembang." SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS 2, no. 4 (January 22, 2019): 347. http://dx.doi.org/10.29259/sijdeb.v2i4.347-362.

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We could find the existing of many e-commerce and market place in Palembang, such as MatahariMall.com, Zalora, Lazada, Tokopedia, Blibli, Shopee, Elevania and Bukalapak. To win the competition and build a sustainable competitiveness, those e-commerce and market place need to hold the key factors of online purchase decision. This research purpose is to investigate online shopping experience, word of mouth and web brand image affect to web trustworthiness and whether purchase decision affected by web trustworthiness and online shopping experience. The data taken from questionnaires that distributed to 100 respondents in Palembang. This research analyzed by using Structural Equation Modelling (SEM). The results show a positive influence between online shopping experience and branding image to web trustworthiness. Word of mouth does not have influence to web trustworthiness. The result found that positive influence between web trustworthiness to purchase decision, whereas online shopping experience does not have influence to purchase decision.
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Gogan, Taylor, Jennifer Beaudry, and Julian Oldmeadow. "Within-Person Variability in First Impressions From Faces." Perception 50, no. 7 (May 30, 2021): 595–614. http://dx.doi.org/10.1177/03010066211019727.

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Perceptions of an individual can change dramatically across different images of their face. Questions remain as to whether some traits are more sensitive to image variability than others. To investigate this issue, we constructed a database of 340 naturalistic images consisting of 20 photos of 17 individuals. In this preregistered study, 95 participants rated all 340 images on one of three traits: trustworthiness, dominance, or attractiveness. Across images, participants’ trustworthiness ratings tended to vary more than dominance, which in turn varied more than attractiveness; however, the relative differences between traits depended on the identity in question. Importantly, despite the variability in ratings within identities, there were substantial differences between individuals, suggesting that these trait judgements are based to some degree on relatively invariant facial characteristics. We found greater between-identity variability for attractiveness judgements compared to trustworthiness and dominance. Future research should further investigate the extent to which each trait dimension is tied to the identity of the faces.
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Said, Christopher P., Sean G. Baron, and Alexander Todorov. "Nonlinear Amygdala Response to Face Trustworthiness: Contributions of High and Low Spatial Frequency Information." Journal of Cognitive Neuroscience 21, no. 3 (March 2009): 519–28. http://dx.doi.org/10.1162/jocn.2009.21041.

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Previous neuroimaging research has shown amygdala sensitivity to the perceived trustworthiness of neutral faces, with greater responses to untrustworthy compared with trustworthy faces. This observation is consistent with the common view that the amygdala encodes fear and is preferentially responsive to negative stimuli. However, some studies have shown greater amygdala activation to positive compared with neutral stimuli. The first goal of this study was to more fully characterize the amygdala response to face trustworthiness by modeling its activation with both linear and nonlinear predictors. Using fMRI, we report a nonmonotonic response profile, such that the amygdala responds strongest to highly trustworthy and highly untrustworthy faces. This finding complicates future attempts to make inferences about mental states based on activation in the amygdala. The second goal of the study was to test for modulatory effects of image spatial frequency filtering on the amygdala response. We predicted greater amygdala sensitivity to face trustworthiness for low spatial frequency images compared with high spatial frequency images. Instead, we found that both frequency ranges provided sufficient information for the amygdala to differentiate faces on trustworthiness. This finding is consistent with behavioral results and suggests that trustworthiness information may reach the amygdala through pathways carrying both coarse and fine resolution visual signals.
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Desfiandi, Andi, S. Suman Rajest, P. S. Venkateswaran, M. Palani Kumar, and Sonia Singh. "COMPANY CREDIBILITY: A TOOL TO TRIGGER POSITIVE CSR IMAGE IN THE CAUSE-BRAND ALLIANCE CONTEXT IN INDONESIA." Humanities & Social Sciences Reviews 7, no. 6 (November 25, 2019): 320–31. http://dx.doi.org/10.18510/hssr.2019.7657.

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Purpose of study: This research aims to analyze the mediating effect of corporate social responsibility (CSR) image in the effect of company credibility dimensions (trustworthiness and expertise) on participation intention, in the cause–brand alliance (CBA) context. Methodology: The sample design which is used is purposive sampling with the sample criteria as the stakeholders of the University of Lampung, Indonesia. Data were collected by direct interview. Multiple regression analysis is used to test the hypotheses with 160 university’s stakeholders, using purposive sampling. Result: The results show that trustworthiness and expertise have a directly positive significant effect on CSR image. However, expertise statistically has a greater positive significant effect on consumer participation intention toward the CBA than trustworthiness. This finding is contrary to the contrast-effect theoretical framework (Dean, 2003) and balance theory (Heider, 1958). Newly finding is that CSR image considered a mediating role in the effect of trustworthiness and expertise credibility on participation intention. Implications: This implies that in the context of CBA, the company’s trustworthiness and expertise can be a more useful tool to trigger the positive CSR image in encouraging the stakeholders’ perception to buy the products and services or brand of the company implementing CSR, because CBA practices are considered as a genuine social cause, not as a promotion tool. Novelty/Originality of this study: In this study, the collected data uses the cross-sectional design and the CBA context uses CBA practices implemented by agriculture, education service, beverage industry, and a bank stated-owned enterprise.
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Budiman, Johny, and Thalia Nargista Putri. "Analisa Peran Celebrity Endorser Terhadap Purchase Intention dengan Brand Image Sebagai Mediating Pada Industri Kuliner di Kota Batam." Jurnal Ilmu Komputer dan Bisnis 13, no. 1 (May 1, 2022): 128–39. http://dx.doi.org/10.47927/jikb.v13i1.289.

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Penelitian ini bertujuan untuk menguji pengaruh dari Celebrity Attractiveness, Celebrity Expertise, Celebrity Trustworthiness, dan Brand Image terhadap Purchase Intention. Serta untuk mengetahui pengaruh antara Celebrity Endorser Credibility terhadap Purchase Intention melalui Brand Image. Penelitian ini dilakukan pada responden yang berdomisili di kota Batam. Penelitian dengan menyebarkan kuesioner kepada 300 responden yang pernah memiliki niat membeli makanan setelah melihat endorser Tanboy Kun, Ria SW, Nex Carlos, Mgdalenaf, dan Farida Nurhan. Teknik analisis data menggunakan PLS (Partial Least Squares). Hasil penelitian menunjukkan bahwa Celebrity Expertise, Celebrity Trustworthiness, dan Brand Image yang berpengaruh signifikanTerhadap Purchase Intention. Serta terdapat pengaruh signifikan antara Celebrity Endorser Credibility terhadap Purchase Intention melalui Brand Image.
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Utilova, Natalia Ivanovna. "Television Civilization and Image of Reality." Journal of Flm Arts and Film Studies 4, no. 2-3 (September 15, 2012): 274–85. http://dx.doi.org/10.17816/vgik42-3274-285.

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The article considers television up-to-date tendencies in the age of globalization. The emergence of digital technologies not only changes the process of TV multi-genre production making but has an impact on the whole of audiovisual culture and trustworthiness of the mirrored reality.
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Kramer, Robin S. S., and Ellen M. Gardner. "Facial Trustworthiness and Criminal Sentencing: A Comment on Wilson and Rule (2015)." Psychological Reports 123, no. 5 (November 22, 2019): 1854–68. http://dx.doi.org/10.1177/0033294119889582.

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Our first impressions of others, whether accurate or unfounded, have real-world consequences in terms of how we judge and treat those people. Previous research has suggested that criminal sentencing is influenced by the perceived facial trustworthiness of defendants in murder trials. In real cases, those who appeared less trustworthy were more likely to receive death rather than life sentences. Here, we carried out several attempts to replicate this finding, utilizing the original set of stimuli (Study 1), multiple images of each identity (Study 2), and a larger sample of identities (Study 3). In all cases, we found little support for the association between facial trustworthiness and sentencing. Furthermore, there was clear evidence that the specific image chosen to depict each identity had a significant influence on subsequent judgments. Taken together, our findings suggest that perceptions of facial trustworthiness have no real-world influence on sentencing outcomes in serious criminal cases.
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Nikmah, Masfi’atun. "Brand image, trust dan quality of information pada consumer purchase decisions." Implementasi Manajemen & Kewirausahaan 2, no. 1 (April 20, 2022): 70–82. http://dx.doi.org/10.38156/imka.v2i1.108.

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This study aims to reveal the effect of brand image, trust, and quality of information either partially or simultaneously on consumer purchasing decisions. This research is quantitative research using a questionnaire as an instrument. The respondents of this research were the users of the Shopee online application in the West Surabaya area, with a total of 80 respondents using non-probability sampling and incidental sampling. Meanwhile, the analysis technique used is multiple linear regression. The results show that brand image, trustworthiness, and information quality have a joint effect on purchasing decisions. In this study also found that, partially brand image has no effect on purchasing decisions. Trust and the quality of information affect purchasing decisions. The amount of brand image analysis, trustworthiness and quality of information on purchasing decisions (R Square) is 0.879 or 87.9%..
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Graham, Daisy L., and Kay L. Ritchie. "Making a Spectacle of Yourself: The Effect of Glasses and Sunglasses on Face Perception." Perception 48, no. 6 (April 22, 2019): 461–70. http://dx.doi.org/10.1177/0301006619844680.

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We investigated the effect of wearing glasses and sunglasses on the perception of social traits from faces and on face matching. Participants rated images of people wearing no glasses, glasses and sunglasses on three social traits (trustworthiness, competence and attractiveness). Wearing sunglasses reduced ratings of trustworthiness. Participants also performed a matching task (telling whether two images show the same person or not) with pairs of images both wearing no glasses, glasses or sunglasses, and all combinations of eyewear. Incongruent eyewear conditions (e.g., one image wearing glasses and the other wearing sunglasses, etc.) reduced performance. Further analysis comparing performance on congruent and incongruent eyewear trials showed that our effects were driven by match trial performance, where differences in eyewear decreased accuracy. For same-eyewear-condition pairs, performance was poorer for pairs of images both wearing sunglasses than no glasses. Our results extend and update previous research on the effect of eyewear on face perception.
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Panda, Swati, Satyendra C. Pandey, Andrea Bennett, and Xiaoguang Tian. "University brand image as competitive advantage: a two-country study." International Journal of Educational Management 33, no. 2 (February 4, 2019): 234–51. http://dx.doi.org/10.1108/ijem-12-2017-0374.

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Purpose Given the competitive landscape in the higher education setting, it is important that universities adopt strategies that create competitive advantage for them. Universities must leverage their resources efficiently to address this goal. Creating a positive brand image is one such strategy. The purpose of this paper is to conceptualize university brand image as its heritage, service quality and trustworthiness and investigate their relationship with student’s satisfaction. It also investigates the role of university reputation as a mediating variable. Design/methodology/approach Data were collected through a mixed method approach. The first stage involved qualitative interviews and focused group discussions with students to understand the factors responsible for student satisfaction with their respective universities. The second stage involved administering a survey questionnaire in two geographies – the USA and India to investigate the hypothesized relationship. The authors use regression analyses to test these relationships. Findings Findings indicate that a distinct brand image plays an important role in students’ level of satisfaction across both the USA and India. Service quality has a greater impact on student satisfaction levels across both contexts (as compared to university heritage and trustworthiness). The authors also find a positive mediating effect of university reputation in the relationship between university brand image and student satisfaction levels. Originality/value The current research contributes to the services marketing literature in the university context. It offers a framework for decision making in universities. It suggests that universities must work toward developing their brand image by focusing on its three dimensions – heritage, trustworthiness and service quality.
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Liang, Nannan, Haifeng Xu, WanLi Zhang, and Lin Cui. "Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model." Mobile Information Systems 2022 (August 28, 2022): 1–14. http://dx.doi.org/10.1155/2022/7140594.

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With the rapid development of artificial intelligence technology, image editing technology has evolved from relying on software such as Photoshop and GIMP for manual modification to using artificial intelligence technology to achieve intelligent and automated tampering of images. Editing, falsifying, and disseminating digital images have become simple and easy, leading to a crisis of confidence in digital images and reducing their reliability as judicial evidence. Therefore, how to identify falsified images, improve their trustworthiness, and avoid judicial injustice has become a problem that must be overcome in the information age. In this paper, we propose a target detection and adaptive feature analysis in image forensics based on a dual-flow layer CNN model, which can effectively perform image forensics. The results show that our algorithm has a clear theoretical basis, a small operational complexity, and a high detection accuracy.
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Beck, Susanne, and Peter Kenning. "The influence of retailers’ family firm image on new product acceptance." International Journal of Retail & Distribution Management 43, no. 12 (December 14, 2015): 1126–43. http://dx.doi.org/10.1108/ijrdm-06-2014-0079.

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Purpose – The long-term survival of companies depends strongly on successful new product introductions. However, insufficient customer new product acceptance (NPA) often leads to high failure rates for manufacturers. Retailers, as intermediaries between the company and the customer, often obtain a crucial role as primary touchpoint. Previous research shows that customers’ perception of a company is transferable to its products and thus influences NPA. Family firms, as successful company type, are supposed to positively influence NPA. The purpose of this paper is to analyse whether manufacturers achieve a strategic advantage regarding NPA when choosing retailer that are perceived as family firms. Design/methodology/approach – Conducting an online survey, the authors tested whether the family firm image (FFI) of a retailer’s brand influences customers’ belief in the trustworthiness of a new product brand and their purchase intention, which reflect two components of NPA. Findings – The results indicate that a strongly perceived FFI has a direct positive effect and, through perceived trustworthiness, an indirect effect on NPA. Those effects are moderated by the customers’ perceived uncertainty about the product. The authors show that aside from increasing trustworthiness, a retailer’s FFI creates a substantial strategic advantage that increases NPA and hence decreases manufacturers’ failure rates. Originality/value – This paper is the first to investigate retailer brand influence on NPA. By providing a new definition and measurement of customers’ family firm perception, this study represents the first quantitative intent to assess the consequences of such perception.
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Shirai, Risako, and Hirokazu Ogawa. "Affective evaluation of images influences personality judgments through gaze perception." PLOS ONE 15, no. 11 (November 5, 2020): e0241351. http://dx.doi.org/10.1371/journal.pone.0241351.

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Faces that consistently shifted the gaze to subsequent target locations in a gaze cueing task were chosen as being more trustworthy than faces that always looked away from the target, suggesting that the validity of a gaze cue influenced the viewers’ judgments regarding the trustworthiness of human faces. We investigated whether the gaze cueing effect and judgments regarding the personality conveyed by a face would be affected by the valence of a target. A face image moved its eyes to the left or the right, and an emotional target image (positive, negative, or neutral) appeared to left or right of the face. Participants had to indicate the location of this target by pressing a key. The target image was preceded by a face that shifted its gaze to the target image (valid cue), a face that directed its gaze to the opposite side (invalid cue), or a face that did not move its eyes (no cue). The perceived trustworthiness of the face was evaluated after the gaze-cueing task. Results showed that faces that looked at positive targets were evaluated as more trustworthy than faces that looked at negative targets. However, the valence of the targets did not affect trustworthiness ratings in invalid and no-cue conditions. We suggest that integrated information about the predictability of the gaze cue and the valence of the gaze target modulates impressions about the personality of the face.
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HU, Dong-Hui, Li-Na WANG, and Xia-Qiu JIANG. "Research on Trustworthiness Evaluation Model for Digital Image in Blind Environment." Chinese Journal of Computers 32, no. 4 (August 11, 2009): 675–87. http://dx.doi.org/10.3724/sp.j.1016.2009.00675.

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K, Shankar, and Lakshmanaprabu S.K. "Optimal key based homomorphic encryption for color image security aid of ant lion optimization algorithm." International Journal of Engineering & Technology 7, no. 1.9 (March 1, 2018): 22. http://dx.doi.org/10.14419/ijet.v7i1.9.9729.

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The security of digital images is a basic and difficult task on the shared communication channel. Different strategies are utilized to secure the digital image, for example, encryption, steganography and watermarking. These are the techniques for the security of digital image to accomplish security objectives, i.e. secrecy, trustworthiness, and accessibility. In the proposed study, Homomorphic Encryption (HE) with optimal key selection for image security is utilized. Here the histogram equalization is introduced for altering image intensities to improve contrast. The histogram of an image generally speaks to the comparative frequency of occurrence of the different gray levels in the image. To increase the security level inspired Ant Lion Optimization (ALO) is considered, where the fitness function as max entropy the best-encrypted image is characterized as the image with most astounding entropy among adjacent pixels. Analyzing the outcomes from the performed experimental outcomes can accomplish abnormal state and great strength of proposed model compared with other encryption strategies.
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Fatma, Mobin. "Consumer Formation of CSR Image: Role of Altruistic Values." Sustainability 14, no. 22 (November 18, 2022): 15338. http://dx.doi.org/10.3390/su142215338.

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The purpose of this study is to examine how the consumer constructs the CSR image of their banking company in their mind. This study is quantitative in nature. Data were collected using a personal survey of bank customers through a structured questionnaire. The current study employed structural equation modeling (SEM) for testing the proposed hypothesized model. The findings drawn from the present study show that altruistic values have a significant role in corporate credibility, which is an important antecedent of the customer formation of CSR images. The contribution of the present study lays in making explicit the moderating role of altruistic values, in terms of their effects on consumer trustworthiness and expertise, in the consumer formation of CSR images.
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Reif, Anne, Tim Kneisel, Markus Schäfer, and Monika Taddicken. "Why Are Scientific Experts Perceived as Trustworthy? Emotional Assessment within TV and YouTube Videos." Media and Communication 8, no. 1 (March 18, 2020): 191–205. http://dx.doi.org/10.17645/mac.v8i1.2536.

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Due to the rise of the Internet, the effects of different science communication formats in which experts appear cannot be neglected in communication research. Through their emotional and more comprehensible communication ‘sciencetubers’—who frequently differ from the stereotypical image of scientists as white, old men—may have a considerable effect on the public’s perceived trustworthiness of scientists as well as their trust in science. Thus, this study aims to extend trust and trustworthiness research to consider the role of emotion in science communication in the context of emerging online video content. Therefore, perceived trustworthiness was examined in an experimental online survey of 155 people aged 18–80. We considered different potential influencing variables for trustworthiness (expertise, integrity, benevolence) and used six different video stimuli about physics featuring scientific experts. The video stimuli varied according to format (TV interviews vs. YouTube videos), gender (male vs. female), and age of the experts depicted (old vs. young). The results suggest that: (1) Scientific experts appearing in TV interviews are perceived as more competent but not higher in integrity or benevolence than sciencetubers—while scientists interviewed on TV are regarded as typical scientists, sciencetubers stand out for their highly professional communication abilities (being entertaining and comprehensible); (2) these emotional assessments of scientists are important predictors of perceived trustworthiness; and (3) significantly mediate the effect of the stimulus (TV interview vs. YouTube video) on all dimensions of perceived trustworthiness of scientific experts.
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Puustinen, Liina, and Janne Seppänen. "The image of trust: Readers' views on the trustworthiness of news photographs." CM - casopis za upravljanje komuniciranjem 8, no. 26 (2013): 11–32. http://dx.doi.org/10.5937/comman1326011p.

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Mara, Dr Sudheer S., Krishnendhu R, and Ashish L. "Computer Forensic in Image Steganography." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3831–42. http://dx.doi.org/10.22214/ijraset.2022.43237.

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Abstract: The advancement of strong imaging tools, modifying photographs to change their data content is becoming a common task. In the computer forensic world, adding, erasing, or copying/moving image data without leaving a trace or unable to be discovered by the inquiry is a problem. The security of information exchanged over the Internet, such as photos and other confidential data, is critical. The goal of today's forensic Image investigation tools and methodologies is to uncover the tempering strategies and restore trust in digital media's trustworthiness. The difficulties of detecting steganography in computer forensics are investigated in this paper. These issues were investigated using open source software. The experiment focuses on steganography applications that employ the same methods to obsure and secure. Keywords: Image steganography, LSB steganography, LSB Spatial Algorithm, steganoanalysis
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Dwi, Laveinia Septa, and Ponirin Ponirin. "PENGARUH CELEBRITY ENDORSEMENT DAN BRAND IMAGE TERHADAP PURCHASE INTENTION LIPSTIK SARIAYU." Jurnal Ilmu Manajemen Universitas Tadulako (JIMUT) 6, no. 3 (November 12, 2020): 186–94. http://dx.doi.org/10.22487/jimut.v6i3.199.

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Tujuan penelitian ini adalah diketahuinya pengaruh celebrity endorsement dan brand image terhadap purchase intention produk Lipstik Sari Ayu di Kota Palu. Jumlah sampel dalam penelitian ini sebanyak 67 orang. Pengambilan sampel menggunakan teknik purposive sampling. Metode analisis yang digunakan dalam penelitian ini adalah Partial Least Square/PLS dengan bantuan program statistik SmartPLS. Hasil penelitian menunjukkan terdapat pengaruh attractiveness, trustworthiness dan expertise terhadap brand image produk Lipstik Sari Ayu di Kota Palu, serta terdapat pengaruh brand image terhadap purchase intention produk Lipstik Sari Ayu di Kota Palu
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Gunn, Alexandra C., E. Jayne White, and Ngaroma Williams. "The status of the image in ECE assessment practice." Teachers' Work 19, no. 1 (June 22, 2022): 15–28. http://dx.doi.org/10.24135/teacherswork.v19i1.341.

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While much has been done to advance narrative assessment practice in the early years, less attention has been granted to the role of the image in this pursuit. As a consequence, the purposes, value and strategic use of images (photographs, videos, visual metaphors etc.) in foregrounding learning of young children are not well understood. This paper reports on the results of a short pilot survey, sent to the early childhood education (ECE) sector Aotearoa New Zelaand in early February 2022, asking a series of exploratory questions about the status and utility of the image in ECE assessment. Images were not only viewed by many respondents as central to assessment and the co-production of knowledge about children’s learning, but they were also considered to be significant in terms of the trustworthiness and credibility of assessment information. Images represented young children’s learning in accessible ways and provided for reinterpretation, negotiation of meaning, and ongoing conversations about children’s changing experiences, capabilities, relationships, and community in ECE. As entry points to assessment dialogues with whānau and children, images provided a shared source of evidence about valued learning. We conclude with a provocation arising from understanding images as central to assessment that calls for more critical literacy concerning the placement and status of the image in ECE assessment practice – especially in light of assessment in the bicultural curriculum context of Te Whāriki (MoE, 2017).
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Arzt-Grabner, Peter. "Gott als verlässlicher Käufer: Einige Papyrologische Anmerkungen und bibeltheologische Schlussfolgerungen zum Gottesbild der Paulusbriefe." New Testament Studies 57, no. 3 (June 8, 2011): 392–414. http://dx.doi.org/10.1017/s0028688511000038.

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Throughout his letters, Paul uses several terms and images that originate from the world of ancient economics. Some of these terms are used metaphorically to describe God’s own attitudes and actions. The term ἀρραβών (‘earnest money, advance payment, bargain money’) may exemplify the use of a business term in the papyri in comparison with its use in Paul’s letters (in 2 Cor. 1.22 and 5.5; cf. Eph 1.14). In Paul’s image, God is depicted as a purchaser who offers ‘us’ his salvation for free and guarantees to complete it in the end. In using the term ἀρραβών, Paul emphasizes God’s reliability and unlimited trustworthiness within an insecure world.
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Dix, Andrew. "Ethos in Sports: An Aristotelian Examination Focused on Source Credibility and the Modern Day Athlete." Sport Science Review 24, no. 5-6 (December 1, 2015): 267–84. http://dx.doi.org/10.1515/ssr-2015-0019.

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Abstract The current study analyzed source credibility in a sports related context. A review of previous literature was undertaken in order to highlight the central findings focused on the dimensions of competence, goodwill, and trustworthiness. Quantitative methods were then utilized as a means to empirically test whether unconfirmed reports of performance-enhancing drug use could negatively impact perceptions of athlete ethos. Findings revealed that athletes who were inconclusively linked to performance-enhancers were evaluated less favorably in terms of their overall competence, goodwill, and trustworthiness. The implications from this study indicate that clean athletes who are wrongfully accused should proactively communicate their innocence to the general public. Athletes who are not clean should employ various face and image restoration strategies in order to effectively manage their public credibility. Study limitations and directions for future research were appropriately addressed within the present scholarship.
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Ramesh R., Udayakumar E., Srihari K., and Sunil Pathak P. "An Innovative Approach to Solve Healthcare Issues Using Big Data Image Analytics." International Journal of Big Data and Analytics in Healthcare 6, no. 1 (January 2021): 15–25. http://dx.doi.org/10.4018/ijbdah.20210101.oa2.

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The increasing adoption of transmission of medical images through internet in healthcare has led to several security threats to patient medical information. Permitting quiet data to be in peril may prompt hopeless harm, ethically and truly to the patient. Accordingly, it is important to take measures to forestall illicit access and altering of clinical pictures. This requests reception of security components to guarantee three fundamental security administrations – classification, content-based legitimacy, and trustworthiness of clinical pictures traded in telemedicine applications. Right now, inside created symmetric key cryptographic capacities are utilized. Pictorial model-based perceptual image hash is used to provide content-based authentication for malicious tampering detection and localization. The presentation of the projected algorithm has been evaluated using performance metrics such as PSNR, normalized correlation, entropy, and histogram analysis, and the simulation results show that the security services have been achieved effectively.
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Sari, Ria Rosmala. "PENGARUH EKUITAS MEREK JILBAB ZOYA TERHADAP NILAI PELANGGAN DI KOTA MATARAM." Jurnal Varian 1, no. 1 (September 28, 2017): 35. http://dx.doi.org/10.30812/varian.v1i1.48.

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AbstrakPenelitian ini berjudul “Pengaruh Ekuitas Merek Jilbab Zoya Terhadap Nilai Pelanggan di Kota Mataram”. Penelitian ini bertujuan untuk mengetahui pendapat konsumen di Kota Mataram mengenai ekuitas merek yang terdiri atas kinerja merek (XI), citra sosial dari merek (X2), nilai yang diterima konsumen (X3), kepercayaan konsumen (X4), dan perasaan pribadi dengan merek (X5) dari produk Jilbab Zoya dan untuk mengetahui pengaruhnya terhadap nilai pelanggan di Kota Mataram. Penelitian merupakan jenis penelitian asosiatif yaitu bertujuan untuk mengetahui pengaruh ekuitas merek terhadap nilai pelanggan. Metode pengumpulan data yang digunakan adalah metode sampel survey dengan alat pengumpulan data berupa kuisioner yang dibagikan kepada 100 orang responden, dengan teknik pengambilan sampel berupa acidental sampling. Alat analisis yang digunakan adalah Regresi Linier Berganda. Dari fungsi regresi yang terbentuk menunjukkan adanya pengaruh yang signifikan secara simultan dari ekuitas merek dengan dimensi ekuitas merek berupa variabel Performance (kinerja merek), Social image (citra sosial dari merek), Value (nilai yang diterima konsumen), Trustworthiness (kepercayaan konsumen) serta Commitmen (perasaan secara pribadi dengan merek)) terhadap Nilai Pelanggan di Kota Mataram. Dan dari hasil T tabel dapat diketahui bahwa Pervormance (X1), Social Image (X2), dan Value (X3) menunjukkan pengaruh pengaruh yang signifikan secara parsial terhadap nilai pelanggan (Y). Sedangakan Trustworthiness (X4) dan Commitment (X5) tidak menunjukkan pengaruh signifikan secara parsial terhadap nilai pelanggan (Y).
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Marković, Ivana, Gordana Radosavljević, and Katarina Borisavljević. "Celebrity Endorsement Influence on Destination Image." Naše gospodarstvo/Our economy 68, no. 4 (December 1, 2022): 66–74. http://dx.doi.org/10.2478/ngoe-2022-0024.

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Abstract Destination image influences the tourist decision-making process, and their intention to visit, revisit and recommend. Therefore, a positive destination image is considered one of the key destination success factors. Tourists will form the image according to their own or others’ experiences and information related to the destination, one option to provide destination information is one of the most effective promotional tools called celebrity endorsement. With the assumption that a positive celebrity image will be transferred to the destination, this study will explore the effect of celebrity endorsement on destination image. The study aims to test the celebrity endorsement effect on destination image through the source attractiveness model, source credibility model, and the Match-up model. Data were collected using the online survey technique, the sample size was 204 respondents. Research hypotheses were tested by regression analysis. Results indicated that celebrity attractiveness, trustworthiness, expertise, and match-up impact the destination image. The theoretical contribution is reflected in new information regarding the role of celebrity endorsement in tourism, which is limited in foreign and domestic scientific literature. As a practical contribution, the study provides information that may be useful to tourism service providers in creating a promotional campaign.
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Poukens, Johan, and Nele Provoost. "Respectability, Middle-Class Material Culture, and Economic Crisis: The Case of Lier in Brabant, 1690–1770." Journal of Interdisciplinary History 42, no. 2 (September 2011): 159–84. http://dx.doi.org/10.1162/jinh_a_00210.

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Poll-tax lists and probate inventories from the small town of Lier reveal an expanding middle class with an enduring investment in objects and activities that signaled prudence and trustworthiness. The middle class created a self-image of respectability by consuming hot drinks in tastefully decorated dining rooms and parlors. Rather than curbing the desire for novelty, the adverse economic conditions of the 1720s sharpened the relative importance of participation in activities that signified credibility.
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Jeljeli, Riadh, Faycal Farhi, and Mohamed Elfateh Hamdi. "The effect of consumer review on the perceived trustworthiness of online retailers: Item response theory perspective." International Journal of Data and Network Science 6, no. 4 (2022): 1341–50. http://dx.doi.org/10.5267/j.ijdns.2022.6.001.

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Word of Mouth also works as a primary determinant of people's positive attitude towards online shopping and retailers. Notably, people are more likely to spend online shopping if they trust online retailers. This study also focuses on the online retail industry in the United Arab Emirates. The Item Response Theory primarily supports the conceptual model of the current research. We employed a cross-sectional design and selected a sample of n= 304 online consumers. Results revealed that the relationships between Positive Word of Mouth, Brand Image, and Causal Attributions are strongly validated (p> 0.000). Besides, the relationships between. Product Quality, Brand Image, and Causal Attributions are also affirmed with the path value at 1.014 and significance value at p> 0.000. Moreover, we also found a potentially significant relationship between Positive Word of Mouth and Product Quality p> 0.000). We also affirmed that the relationship between Brand Image and Causal Attribution is also validated with the significance values at p> 0.000. Lastly, the proposed relationships between we proposed a significant relationship are also validated (p> 0.000). Thus, we conclude that, today, when competition is increasing day by day, it is crucial to examine the consumer psychology that may highlight our several factors as done by the Item Response Theory. Further, we have discussed the study limitations and contributions accordingly.
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Lalancette, Mireille, and Vincent Raynauld. "The Power of Political Image: Justin Trudeau, Instagram, and Celebrity Politics." American Behavioral Scientist 63, no. 7 (November 30, 2017): 888–924. http://dx.doi.org/10.1177/0002764217744838.

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This article explores dynamics of online image management and its impact on leadership in a context of digital permanent campaigning and celebrity politics in Canada. Recent studies have shown that images can play a critical role when members of the public are evaluating politicians. Specifically, voters are looking for specific qualities in political leaders, including honesty, intelligence, friendliness, sincerity, and trustworthiness, when making electoral decisions. Image management techniques can help create the impression that politicians possess these qualities. Heads of governments using social media to capture attention through impactful images or videos on an almost daily basis seems like a new norm. Specifically, this article takes interest in Justin Trudeau’s use of Instagram during the first year immediately following his election on October 19, 2015. Through a hybrid quantitative and qualitative approach, we examine how Trudeau and his party convey a specific image to voters in a context of permanent and increasingly personalized campaigning. We do so through an analysis of his Instagram feed focusing on different elements, including how he frames his governing style visually, how his personal life is used on his Instagram to support the Liberal Party of Canada’s values and ideas, and how celebrity culture codes are mobilized to discuss policy issues such as environment, youth, and technology. This analysis sheds light on the effects and implications of image management in Canada. More generally, it offers a much-needed look at image-based e-politicking and contributes to the academic literature on social media, permanent campaigning, as well as celebrity and politics in Canada.
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Zhang, Denghui, Lijing Ren, Muhammad Shafiq, and Zhaoquan Gu. "A Privacy Protection Framework for Medical Image Security without Key Dependency Based on Visual Cryptography and Trusted Computing." Computational Intelligence and Neuroscience 2023 (January 31, 2023): 1–11. http://dx.doi.org/10.1155/2023/6758406.

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The development of mobile Internet and the popularization of intelligent sensor devices greatly facilitate the generation and transmission of massive multimedia data including medical images and pathological models on the open network. The popularity of artificial intelligence (AI) technologies has greatly improved the efficiency of medical image recognition and diagnosis. However, it also poses new challenges to the security and privacy of medical data. The leakage of medical images related to users’ privacy is emerging one after another. The existing privacy protection methods based on cryptography or watermarking often bring a burden to image transmission. In this paper, we propose a privacy-preserving recognition network for medical images (called MPVCNet) to solve these problems. MPVCNet uses visual cryptography (VC) to transmit images by sharing. Benefiting from the secret-sharing characteristics of VC, MPVCNet can securely transmit images in clear text, which can both protect privacy and mitigate performance loss. Aiming at the problem that VC is easy to forge, we combine trusted computing environments (TEE) and blind watermarking technologies to embed verification information into sharing images. We further leverage the transfer learning technology to abate the side effect resulting from the use of visual cryptography. The results of the experiment show that our approach can maintain the trustworthiness and recognition performance of the recognition networks while protecting the privacy of medical images.
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Alrashedy, Halima Hamid N., Atheer Fahad Almansour, Dina M. Ibrahim, and Mohammad Ali A. Hammoudeh. "BrainGAN: Brain MRI Image Generation and Classification Framework Using GAN Architectures and CNN Models." Sensors 22, no. 11 (June 6, 2022): 4297. http://dx.doi.org/10.3390/s22114297.

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Deep learning models have been used in several domains, however, adjusting is still required to be applied in sensitive areas such as medical imaging. As the use of technology in the medical domain is needed because of the time limit, the level of accuracy assures trustworthiness. Because of privacy concerns, machine learning applications in the medical field are unable to use medical data. For example, the lack of brain MRI images makes it difficult to classify brain tumors using image-based classification. The solution to this challenge was achieved through the application of Generative Adversarial Network (GAN)-based augmentation techniques. Deep Convolutional GAN (DCGAN) and Vanilla GAN are two examples of GAN architectures used for image generation. In this paper, a framework, denoted as BrainGAN, for generating and classifying brain MRI images using GAN architectures and deep learning models was proposed. Consequently, this study proposed an automatic way to check that generated images are satisfactory. It uses three models: CNN, MobileNetV2, and ResNet152V2. Training the deep transfer models with images made by Vanilla GAN and DCGAN, and then evaluating their performance on a test set composed of real brain MRI images. From the results of the experiment, it was found that the ResNet152V2 model outperformed the other two models. The ResNet152V2 achieved 99.09% accuracy, 99.12% precision, 99.08% recall, 99.51% area under the curve (AUC), and 0.196 loss based on the brain MRI images generated by DCGAN architecture.
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Ahmad, Arman Hj, Izian Idris, Cordelia Mason, and Shenn Kuan Chow. "The Impact of Young Celebrity Endorsements in Social Media Advertisements and Brand Image Towards the Purchase Intention of Young Consumers." International Journal of Financial Research 10, no. 5 (June 10, 2019): 54. http://dx.doi.org/10.5430/ijfr.v10n5p54.

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Introduction: The power of young celebrities and brand image in influencing young consumers are becoming more relevant in the marketing and advertising of products and services of the plethora of brands we have in the twenty-first century. Businesses and brands use young celebrities to endorse their products to appeal more towards younger consumers. This research investigates the impact of young celebrity endorsements in social media advertisements and brand image towards the purchase intention of young consumers.Methodology: The theoretical framework from Shimp’s TEARS Model of celebrity endorsement is derived from 4 research studies and the variables were tested using 5-point Likert scale on a sample of 282 respondents who are young consumers, aged between 13 to 18 years old. All respondents were recruited using stratified sampling technique and data were analyzed using SmartPLS. The results derived from the data analyses conducted highlights eight main findings.Results: From the TEARS Model, similarity and respect has an influence on celebrity endorsement in social media whereas expertise, physical attractiveness and trustworthiness do not influence celebrity endorsement in social media. Brand image and celebrity endorsement in social media also found to be significant antecedents for the purchase intention. These findings will provide insights to marketer of businesses who requires to understand the attributes of young celebrity endorsements on social media advertisements that will appeal to young consumer. In this technological era, businesses build their brand image via investing in advertising; especially in social media advertising and celebrity endorsements.Recommendations: Following the current findings of the insignificance of expertise, physical attractiveness, and trustworthiness of the celebrity endorsers towards young consumers; marketers should look into similarity and respect qualities of their young celebrity endorsers if they would like to appeal their brands and products to pique the interests of young consumer which now become one of the major group of consumers in the world.
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Khormali, Aminollah, and Jiann-Shiun Yuan. "ADD: Attention-Based DeepFake Detection Approach." Big Data and Cognitive Computing 5, no. 4 (September 27, 2021): 49. http://dx.doi.org/10.3390/bdcc5040049.

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Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet serious privacy risks threatening digital media’s integrity and trustworthiness, specifically digital video, through synthesizing hyper-realistic images and videos, i.e., DeepFakes. The need for ascertaining the trustworthiness of digital media calls for automatic yet accurate DeepFake detection algorithms. This paper presents an attention-based DeepFake detection (ADD) method that exploits the fine-grained and spatial locality attributes of artificially synthesized videos for enhanced detection. ADD framework is composed of two main components including face close-up and face shut-off data augmentation methods and is applicable to any classifier based on convolutional neural network architecture. ADD first locates potentially manipulated areas of the input image to extract representative features. Second, the detection model is forced to pay more attention to these forgery regions in the decision-making process through a particular focus on interpreting the sample in the learning phase. ADD’s performance is evaluated against two challenging datasets of DeepFake forensics, i.e., Celeb-DF (V2) and WildDeepFake. We demonstrated the generalization of ADD by evaluating four popular classifiers, namely VGGNet, ResNet, Xception, and MobileNet. The obtained results demonstrate that ADD can boost the detection performance of all four baseline classifiers significantly on both benchmark datasets. Particularly, ADD with ResNet backbone detects DeepFakes with more than 98.3% on Celeb-DF (V2), outperforming state-of-the-art DeepFake detection methods.
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Prasojo, Eko. "PENGARUH CELEBRITY ENDORSEMENT TERHADAP MINAT BELI MELALUI BRAND IMAGE." Jurnal Riset Manajemen dan Bisnis 14, no. 2 (January 29, 2020): 83. http://dx.doi.org/10.21460/jrmb.2019.142.338.

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ABSTRAKSI Selebriti terkenal menjadi pertimbangan yang amat besar untuk menjadi komunikator dalam sebuah iklan, yang biasa disebut sebagai selebriti endorser. Selebriti yang sedang naik daun atau popular diyakini dapat lebih mempengaruhi seseorang untuk mengambil tindakan tertentu sesuai dengan tujuan awal. Iklan adalah salah satu strategi yang dilakukan perusahaan untuk mengomunikasikan produk dan mengenalkan sebuah merek. Bentuk komunikasi ini dapat dilakukan dengan berbagai macam cara, salah satu contohnya adalah iklan yang dipakai oleh produk Luwak White Koffie, dimana didalam iklannya menggunakan Celebrity Endorsement yang bertujuan untuk menarik perhatian calon konsumen ketika melihatnya. Celebrity Endorsement dapat membawa dampak pada dunia periklanan, tergantung dari kepribadian dan kepopuleran dari selebriti tersebut. Tujuan dari penelitian ini adalah untuk mengetahui Kredibilitas Celebrity Endorsement terhadap Brand Image, untuk mengetahui Keahlian Celebrity Endorsement terhadap Brand Image, untuk mengetahui Daya Tarik Celebrity Endorsement terhadap Brand Image, untuk mengetahui Kepercayaan (trustworthiness) Celebrity Endorsement terhadap Brand Image, untuk mengetahui power Celebrity Endorsement terhadap Brand Image serta untuk mengetahui Brand Image terhadap Minat Beli. Hasil penelitian menunjukkan bahwa terdapat pengaruh positif dan signifikan antara kredibilitas, keahlian, dayatarik, kepercayaan, power (kekuatan) terhadap brand image pada konsumen produk Luwak White Koffie serta terdapat pengaruh positif dan signifikan antara brand image terhadap minat beli konsumen produk Luwak White Koffie di Kota Tegal. Kata kunci : Celebrity Endorsement, Brand Image dan Minat BeliABSTRACT Famous celebrities are a huge consideration for being a communicator in an advertisement, commonly referred to as endorser celebrity. Celebrities who are on the rise or popular are believed to be more able to influence someone to take certain actions in accordance with the initial purpose. Advertising is one of the strategies undertaken by companies to communicate products and introduce a brand. This form of communication can be done in a variety of ways, one of which is the advertisement used by Luwak White Koffie's products, in which the ad uses Celebrity Endorsement which aims to attract the attention of potential consumers when they see it. Celebrity Endorsement can have an impact on the world of advertising, depending on the personality and popularity of the celebrity. The purpose of this study is to determine the credibility of Celebrity Endorsement on Brand Image, to know the Celebrity Endorsement Expertise on Brand Image, to determine the Attractiveness of Celebrity Endorsement towards Brand Image, to find out the trustworthiness of Celebrity Endorsement towards Brand Image, to determine the Celebrity Endorsement power Brand Image and to find out the Brand Image of Buying Interest. The results showed that there was a positive and significant influence between credibility, expertise, attractiveness, trust, power (strength) on brand image of Luwak White Koffie consumers and there was a positive and significant effect between brand image on consumer buying interest of Luwak White Koffie products in the City Tegal. Keywords: Celebrity Endorsement, Brand Image and Purchase Interest
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Mileva, Mila, Robin S. S. Kramer, and A. Mike Burton. "Social Evaluation of Faces Across Gender and Familiarity." Perception 48, no. 6 (May 13, 2019): 471–86. http://dx.doi.org/10.1177/0301006619848996.

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Models of social evaluation aim to capture the information people use to form first impressions of unfamiliar others. However, little is currently known about the relationship between perceived traits across gender. In Study 1, we asked viewers to provide ratings of key social dimensions (dominance, trustworthiness, etc.) for multiple images of 40 unfamiliar identities. We observed clear sex differences in the perception of dominance—with negative evaluations of high dominance in unfamiliar females but not males. In Study 2, we used the social evaluation context to investigate the key predictions about the importance of pictorial information in familiar and unfamiliar face processing. We compared the consistency of ratings attributed to different images of the same identities and demonstrated that ratings of images depicting the same familiar identity are more tightly clustered than those of unfamiliar identities. Such results imply a shift from image rating to person rating with increased familiarity, a finding which generalises results previously observed in studies of identification.
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42

Malik, Abdullah, Bushan D. Sudhakar, and Dhruv Shankar Dutta. "Management-based Factors of Sports Celebrity Endorsement and Effect on Brand Image." IIM Kozhikode Society & Management Review 7, no. 1 (January 2018): 75–87. http://dx.doi.org/10.1177/2277975217733882.

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Celebrity credibility for brand endorsement has been investigated in several studies since 1990. Many researches in celebrity endorsement focus on the source-based model. The model states the effectiveness of endorsers by measuring the perceived attractiveness, trustworthiness, and expertise of the celebrities in the eyes of the customers. This study attempts to understand the conceptual classification of management-based factors of celebrity endorsement through measuring the brand image. An empirical study of the top three performers from the Indian Premier League of 2016 has been carried out to understand the potential of an effective endorsement. The findings suggest that there is a positive and significant relationship between ‘management-based factors’ and ‘brand image’. Hence, the marketers should tap attributes like celebrity multiplicity, celebrity–brand congruency and celebrity activation from sports to create an impressive brand image.
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Le Roux, C., and C. Du Plessis. "An exploratory Q study of corporate brand identity elements governing corporate brand image formation." Southern African Business Review 18, no. 3 (January 29, 2019): 119–41. http://dx.doi.org/10.25159/1998-8125/5688.

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12Because of the growing demands on businesses to distinguish themselves from competitors, corporate brand identity and image are considered to be fundamental in enhancing the visibility and credibility of a business. This study identifi ed the perceptions of South African businesses across various industries of corporate brand identity elements that govern corporate brand image formation. In doing so, a theoretical perspective was adopted that borrows from both marketing communication and corporate communication theories. Firstly, the corporate brand identity elements deemed signifi cant in corporate brand image formation were identified from earlier literature and research. Secondly, Q methodology was used to categorise the variety and span of subjective opinion on those corporate identity elements deemed significant for corporate brand image formation. Finally, the dominant perceptions of the factors that govern corporate brand image formation were isolated through Q factor analysis. Seven richly diverse factors were derived, reflecting the most salient perceptions on the topic, namely trustworthiness of the brand, creative marketing, effective management and administration, stability through business innovation, customer satisfaction, effective integrated communication and strategic positioning of the brand.
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Yu, Jun, Zhenzhong Kuang, Baopeng Zhang, Wei Zhang, Dan Lin, and Jianping Fan. "Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing." IEEE Transactions on Information Forensics and Security 13, no. 5 (May 2018): 1317–32. http://dx.doi.org/10.1109/tifs.2017.2787986.

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Ryali, Chaitanya K., Stanny Goffin, Piotr Winkielman, and Angela J. Yu. "From likely to likable: The role of statistical typicality in human social assessment of faces." Proceedings of the National Academy of Sciences 117, no. 47 (November 23, 2020): 29371–80. http://dx.doi.org/10.1073/pnas.1912343117.

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Humans readily form social impressions, such as attractiveness and trustworthiness, from a stranger’s facial features. Understanding the provenance of these impressions has clear scientific importance and societal implications. Motivated by the efficient coding hypothesis of brain representation, as well as Claude Shannon’s theoretical result that maximally efficient representational systems assign shorter codes to statistically more typical data (quantified as log likelihood), we suggest that social “liking” of faces increases with statistical typicality. Combining human behavioral data and computational modeling, we show that perceived attractiveness, trustworthiness, dominance, and valence of a face image linearly increase with its statistical typicality (log likelihood). We also show that statistical typicality can at least partially explain the role of symmetry in attractiveness perception. Additionally, by assuming that the brain focuses on a task-relevant subset of facial features and assessing log likelihood of a face using those features, our model can explain the “ugliness-in-averageness” effect found in social psychology, whereby otherwise attractive, intercategory faces diminish in attractiveness during a categorization task.
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Biswas, Joydeep, and Shabbirhusain R.V. "Role of Celebrity Image-Congruence in Predicting Travel Behaviour Intention." ASEAN Journal on Hospitality and Tourism 20, no. 1 (June 7, 2022): 56–73. http://dx.doi.org/10.5614/ajht.2022.20.1.05.

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The objective of this research was to investigate how the perceived image congruence of the traveller influences the relationship between celebrity endorser attributes and travel behaviour intentions in the tourism context. 310 respondents were surveyed using online convenient sampling in India. Hypotheses were tested using structured equation modelling. The results suggest that endorser celebrity traits of physical attractiveness, trustworthiness, and expertise positively impact a tourist’s intention to revisit or recommend the endorsed destination. Additionally, greater image congruence between the celebrity endorser and the endorsed destination is likely to result in higher intention of the traveller to visit the destination. The study contributes to the existing body of academic literature by demonstrating the combined influence of celebrity characteristics and image congruence on the travel intentions of a tourist. This research benefits the practitioners by suggesting that destinations should focus on carving a messaging strategy focusing on how the destination image is consistent with how the targeted traveller perceives himself or herself with the messaging source being a celebrity who is either physically attractive, trustworthy or a travel expert.
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Xue, Song, Rui Guo, Karl Peter Bohn, Jared Matzke, Marco Viscione, Ian Alberts, Hongping Meng, et al. "A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET." European Journal of Nuclear Medicine and Molecular Imaging 49, no. 6 (December 24, 2021): 1843–56. http://dx.doi.org/10.1007/s00259-021-05644-1.

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Abstract Purpose A critical bottleneck for the credibility of artificial intelligence (AI) is replicating the results in the diversity of clinical practice. We aimed to develop an AI that can be independently applied to recover high-quality imaging from low-dose scans on different scanners and tracers. Methods Brain [18F]FDG PET imaging of 237 patients scanned with one scanner was used for the development of AI technology. The developed algorithm was then tested on [18F]FDG PET images of 45 patients scanned with three different scanners, [18F]FET PET images of 18 patients scanned with two different scanners, as well as [18F]Florbetapir images of 10 patients. A conditional generative adversarial network (GAN) was customized for cross-scanner and cross-tracer optimization. Three nuclear medicine physicians independently assessed the utility of the results in a clinical setting. Results The improvement achieved by AI recovery significantly correlated with the baseline image quality indicated by structural similarity index measurement (SSIM) (r = −0.71, p < 0.05) and normalized dose acquisition (r = −0.60, p < 0.05). Our cross-scanner and cross-tracer AI methodology showed utility based on both physical and clinical image assessment (p < 0.05). Conclusion The deep learning development for extensible application on unknown scanners and tracers may improve the trustworthiness and clinical acceptability of AI-based dose reduction.
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48

Luo, Ru, Jin Xing, Lifu Chen, Zhouhao Pan, Xingmin Cai, Zengqi Li, Jielan Wang, and Alistair Ford. "Glassboxing Deep Learning to Enhance Aircraft Detection from SAR Imagery." Remote Sensing 13, no. 18 (September 13, 2021): 3650. http://dx.doi.org/10.3390/rs13183650.

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Although deep learning has achieved great success in aircraft detection from SAR imagery, its blackbox behavior has been criticized for low comprehensibility and interpretability. Such challenges have impeded the trustworthiness and wide application of deep learning techniques in SAR image analytics. In this paper, we propose an innovative eXplainable Artificial Intelligence (XAI) framework to glassbox deep neural networks (DNN) by using aircraft detection as a case study. This framework is composed of three parts: hybrid global attribution mapping (HGAM) for backbone network selection, path aggregation network (PANet), and class-specific confidence scores mapping (CCSM) for visualization of the detector. HGAM integrates the local and global XAI techniques to evaluate the effectiveness of DNN feature extraction; PANet provides advanced feature fusion to generate multi-scale prediction feature maps; while CCSM relies on visualization methods to examine the detection performance with given DNN and input SAR images. This framework can select the optimal backbone DNN for aircraft detection and map the detection performance for better understanding of the DNN. We verify its effectiveness with experiments using Gaofen-3 imagery. Our XAI framework offers an explainable approach to design, develop, and deploy DNN for SAR image analytics.
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49

Hadmi, Azhar, and Awatif Rouijel. "A Novel Approach for Robust Perceptual Image Hashing." Computer and Information Science 14, no. 3 (July 5, 2021): 38. http://dx.doi.org/10.5539/cis.v14n3p38.

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Perceptual image hashing system generates a short signature called perceptual hash attached to an image before transmission and acts as side information for analyzing the trustworthiness of the received image. In this paper, we propose a novel approach to improve robustness for perceptual image hashing scheme for generating a perceptual hash that should be resistant to content-preserving manipulations, such as JPEG compression and Additive&nbsp;white Gaussian&nbsp;noise&nbsp;(AWGN) also should differentiate the maliciously tampered image and its original version. Our algorithm first constructs a robust image, derived from the original input by analyzing the stability of the extracted features and improving their robustness. From the robust image, which does perceptually resemble the original input, we further extract the final robust features. Next, robust features are suitably quantized allowing the generation of the final perceptual hash using the cryptographic hash function SHA1. The main idea of this paper is to transform the original image into a more robust one that allows the extraction of robust features. Generation of the robust image turns out be quite important since it introduces further robustness to the perceptual image hashing system. The paper can be seen as an attempt to propose a general methodology for more robust perceptual image hashing. The experimental results presented in this paper reveal that the proposed scheme offers good robustness against JPEG compression and Additive&nbsp;white Gaussian&nbsp;noise.
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Tran, Mai An, Bang Nguyen, T. C. Melewar, and Jim Bodoh. "Exploring the corporate image formation process." Qualitative Market Research: An International Journal 18, no. 1 (January 12, 2015): 86–114. http://dx.doi.org/10.1108/qmr-05-2014-0046.

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Purpose – This paper aims to demonstrate the need to explore the image formation process to develop a more holistic definition of corporate image. Diminishing trust in managers has created increasingly negative perceptions toward corporations. Stakeholders are constantly evaluating and scrutinizing corporations to determine their trustworthiness and authenticity. To develop their perceptions toward these corporations, stakeholders rely on the key role of corporate image. In the present study, the complex relationships between corporate image, corporate reputation, corporate communication and corporate personality are investigated. These concepts form a corporation’s image formation process. Design/methodology/approach – Radley Yelday (RY), the communications agency collaborating in this research, facilitated 15 interviews with their employees. Using a semi-structured interviewing method, discussions were guided toward the topic of corporate image among the respondents. Findings – Findings reveal the importance of corporate image under seven different dimensions: visual expression, positive feelings, environments expression, online appearance, staff/employees appearance, attitude and behavior and external communications (offline, online and effectiveness). Theoretical and managerial implications are discussed with suggestions for future researches. Originality/value – The authors develop a conceptual model that illustrates the corporate image formation process. The model includes seven dimensions – both with tangible and intangible aspects – forming corporate communication and corporate personality. These, in turn, translate into the corporate image. With time and experiences, corporate image creates a more consistent reputation, which consists of five different levels: awareness, familiarity, favorability, trust and advocacy. As demonstrated in this research, the seven key dimensions influencing this process are: visual expression, positive feelings, environment, online appearance, staff/employees appearance, attitude and behavior and external communications.
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