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1
Matsick, Jes L., Lizbeth M. Kim, and Mary Kruk. "Facebook LGBTQ Pictivism: The Effects of Women’s Rainbow Profile Filters on Sexual Prejudice and Online Belonging." Psychology of Women Quarterly 44, no. 3 (June 10, 2020): 342–61. http://dx.doi.org/10.1177/0361684320930566.
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Facebook’s rainbow profile filter represents a popular display of activism (“pictivism”) commonly used by women, yet little is known of pictivism’s potential for creating social change. We tested whether women’s group status (belonging to a dominant vs. marginalized group) and filter use influenced viewers’ perceptions, attitudes, and behaviors. We conducted a series of 2 (target sexual orientation: queer or heterosexual) × 2 (filter use: filter or no filter) experiments with heterosexual ( N 1 = 198, N 2 = 186) and LGBTQ ( N 3 = 290) participants. Participants rated women who used rainbow filters as more activist than women who did not engage in pictivism. Although neither target sexual orientation nor filter use influenced participants’ ally behavior (donations), heterosexual people who viewed a woman using a filter reported greater closeness to LGBTQ people and greater intentions of supporting LGBTQ people when the woman was queer than heterosexual. Exposure to rainbow filters caused LGBTQ participants to express greater online and societal belonging than when filters were absent. Taken together, women’s pictivism and the online visibility of queer women yielded some psychological benefits for heterosexual and LGBTQ viewers. If the goal of pictivism is to enhance marginalized groups’ feelings of support, it works as intended. We thus recommend that both heterosexual and LGBTQ people who care about LGBTQ rights and seek to affirm LGBTQ individuals’ sense of belonging embrace opportunities on social media, specifically through profile picture filters, to communicate their support. Additional online materials for this article are available on PWQ ’s website at http://journals.sagepub.com/doi/suppl/10.1177/0361684320930566
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Mona, Eflina Nurdini Febrita, and Frederik Masri Gasa. "Literasi Media: Sosial Media Sebagai “Front Stage” Baru Personal Image Generasi Digital Native." JURNAL SIMBOLIKA: Research and Learning in Communication Study 6, no. 2 (October 30, 2020): 107–20. http://dx.doi.org/10.31289/simbollika.v6i2.3650.
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The purpose of this research is to see how social media creates a new "front stage" for individuals and provides space for these individuals to form and manage their personal images, which tend to be more enjoyable for the digital native generation. This study uses an interpretive paradigm. For interpretive researchers, the goal of social research is to develop an understanding of social life and discover how people construct meaning in natural settings. The implementation of this research produces media literacy, not just an activity that filters out various information that is of no use to its users, positives and more advantages. The conclusion of this research is that Native Digital Generaation is a different group in the stage of searching for identity, and is at the stage of searching for an appropriate role which is expected to receive the appreciation they expect, media literacy is needed as skills not only filter out the negative things of freedom, social media, but furthermore requires the ability to maximize social media space to get positive things and more benefits.
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Wang, Junzhang, Diwen Xue, and Karen Shi. "An Ensemble Framework for Spam Detection on Social Media Platforms." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 77–84. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1017.
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As various review sites grow in popularity and begin to hold more sway in consumer preferences, spam detection has become a burgeoning field of research. While there have been various attempts to resolve the issue of spam on the open web, specifically as it relates to reviews, there does not yet exist an adaptive and robust framework out there today. We attempt to address this issue in a domain-specific manner, choosing to apply it to Yelp.com first. We believe that while certain processes do exist to filter out spam reviews for Yelp, we have a comprehensive framework that can be extended to other applications of spam detection as well. Furthermore, our framework exhibited a robust performance even when trained on small datasets, providing an approach for practitioners to conduct spam detection when the available data is inadequate. To the best of our knowledge, our framework uses the most number of extracted features and models in order to finely tune our results. In this paper, we will show how various sets of online review features add value to the final performance of our proposed framework, as well as how different machine learning models perform regarding detecting spam reviews.
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AlShehri, Bashayer, Aljawhra Alotaibi, Hind Alqhtani, Alaa AlAli, and Heba Kurdi. "A Mobile Platform for Social Media Filters." Procedia Computer Science 170 (2020): 297–302. http://dx.doi.org/10.1016/j.procs.2020.03.043.
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Steinbaugh, Adam. "Social media filters risk First Amendment scrutiny." Campus Legal Advisor 21, no. 1 (August 12, 2020): 1–3. http://dx.doi.org/10.1002/cala.40313.
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Spohr, Dominic. "Fake news and ideological polarization." Business Information Review 34, no. 3 (August 23, 2017): 150–60. http://dx.doi.org/10.1177/0266382117722446.
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This article addresses questions of ideological polarization and the filter bubble in social media. It develops a theoretical analysis of ideological polarization on social media by considering a range of relevant factors. Over recent years, fake news and the effect of the social media filter bubble have become of increasing importance both in academic and general discourse. The article reviews the assumption that algorithmic curation and personalization systems place users in a filter bubble of content that decreases their likelihood of encountering ideologically cross-cutting news content. At the intersection of new media, politics and behavioural science, the article establishes a theoretical framework for further research and future actions by society, policymakers and industries.
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Min, Yong, Tingjun Jiang, Cheng Jin, Qu Li, and Xiaogang Jin. "Endogenetic structure of filter bubble in social networks." Royal Society Open Science 6, no. 11 (November 2019): 190868. http://dx.doi.org/10.1098/rsos.190868.
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The filter bubble is an intermediate structure to provoke polarization and echo chambers in social networks, and it has become one of today's most urgent issues for social media. Previous studies usually equated filter bubbles with community structures and emphasized this exogenous isolation effect, but there is a lack of full discussion of the internal organization of filter bubbles. Here, we design an experiment for analysing filter bubbles taking advantage of social bots. We deployed 128 bots to Weibo (the largest microblogging network in China), and each bot consumed a specific topic (entertainment or sci-tech) and ran for at least two months. In total, we recorded about 1.3 million messages exposed to these bots and their social networks. By analysing the text received by the bots and motifs in their social networks, we found that a filter bubble is not only a dense community of users with the same preferences but also presents an endogenetic unidirectional star-like structure. The structure could spontaneously exclude non-preferred information and cause polarization. Moreover, our work proved that the felicitous use of artificial intelligence technology could provide a useful experimental approach that combines privacy protection and controllability in studying social media.
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Li, Shugang, Ru Wang, Yuqi Zhang, Hanyu Lu, Nannan Cai, and Zhaoxu Yu. "Potential social media influencers discrimination for concept marketing in online brand community." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 317–29. http://dx.doi.org/10.3233/jifs-201809.
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Identifying potential social media influencers (SMIs) accurately can achieve a long-time and effective concept marketing at a lower cost, and then promote the development of the corporate brand in online communities. However, potential SMIs discrimination often faces the problem of insufficient available information of the long-term evolution of the network, and the existing discriminant methods based on link analysis fail to obtain more accurate results. To fill this gap, a consensus smart discriminant algorithm (CSDA) is proposed to identify the potential SMIs with the aid of attention concentration (AC) between users in a closed triadic structure. CSDA enriches and expands the users’ AC information by fusing multiple attention concentration indexes (ACIs) as well as filters the noise information caused by multi-index fusion through consensus among the indexes. Specifically, to begin with, to enrich the available long-term network evolution information, the unidirectional attention concentration indexes (UACIs) and the bidirectional attention concentration indexes (BACIs) are defined; next, the consensus attention concentration index (CACI) is selected according to the principle of minimum upper and lower bounds of link prediction bias to filter noise information; the potential SMI is determined by adaptively calculating CACI among the user to be identified, unconnected user group and their common neighbor. The validity and reliability of the proposed method are verified by the actual data of Twitter.
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Yonatha Wijaya, Komang Dhiyo, and Anak Agung Istri Ngurah Eka Karyawati. "The Effects of Different Kernels in SVM Sentiment Analysis on Mass Social Distancing." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 2 (November 22, 2020): 161. http://dx.doi.org/10.24843/jlk.2020.v09.i02.p01.
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During this pandemic, social media has become a major need as a means of communication. One of the social medias used is Twitter by using messages referred to as tweets. Indonesia currently undergoing mass social distancing. During this time most people use social media in order to spend their idle time However, sometimes, this result in negative sentiment that used to insult and aimed at an individual or group. To filter that kind of tweets, a sentiment analysis was performed with SVM and 3 different kernel method. Tweets are labelled into 3 classes of positive, neutral, and negative. The experiments are conducted to determine which kernel is better. From the sentiment analysis that has been performed, SVM linear kernel yield the best score Some experiments show that the precision of linear kernel is 57%, recall is 50%, and f-measure is 44%
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Sawicka, Zofia. "How Facebook Polarizes Public Debate in Poland - Polish Filter Bubble." Social Communication 5, no. 2 (December 1, 2019): 45–52. http://dx.doi.org/10.2478/sc-2019-0008.
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Abstract The dissemination of the media has led to the phenomenon of the mediatization of social reality, which in the era of new media has become dominant, because the new media have infiltrated almost every aspect of human functioning. The surprising paradox of the new media is the fact that on the one hand they give access to almost unlimited information, on the other hand they narrow it down extremely. The modern media user, often without realizing it, “uses” only the information that is offered to him by specially selected internet algorithms. Created in this way the so-called “information/filter bubble” condemns him to the only vision of reality - and in the absence of the possibility of verifying his observations what results from the way the new media works - in his opinion the only true one. This is particularly important in creating the vision of social order and the functioning of the state. The mediatisation of Polish social reality - especially in the context of social media - led to the emergence of polarized groups isolated from each other and caused a lack of rational political debate on a number of important social issues.
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Grace, Rob, Jess Kropczynski, Scott Pezanowski, Shane Halse, Prasanna Umar, and Andrea Tapia. "Enhancing Emergency Communication With Social Media." International Journal of Information Systems for Crisis Response and Management 10, no. 3 (July 2018): 20–41. http://dx.doi.org/10.4018/ijiscram.2018070102.
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Local social media users share and access critical information before, during, and after emergencies. However, existing methods can identify local social media users only after an emergency has occurred, and only then discover a small proportion of users sharing information in a geographic area. To address these limitations, we introduce the method of Social Triangulation to identify local social media users who access community information before an emergency in order to develop emergency communications strategies that contribute to community resilience. Social Triangulation identifies local users vis-à-vis the community organizations they curate within their social networks and, as a result, helps reveal the information infrastructure of a community. Consequently, social triangulation can inform emergency communications planning by identifying “filter bubbles” among social media users loosely embedded in an information infrastructure, as well as community influencers who are well-positioned to redistribute official information during an emergency.
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Lavrence, Christine, and Carolina Cambre. "“Do I Look Like My Selfie?”: Filters and the Digital-Forensic Gaze." Social Media + Society 6, no. 4 (October 2020): 205630512095518. http://dx.doi.org/10.1177/2056305120955182.
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Filtered faces are some of the most heavily engaged photos on social media. The vast majority of literature on selfies have focused on self-reported practices of creating and posting selfies and how subjects view themselves, but research on using filters and the kinds of looking filter provoke is underexplored. Part of a larger project, this analysis draws from a study using photo-elicitation techniques to discuss selfie filters with 12 focus groups, exploring the dominant discourses of cis-gendered looking within digital sociality. We explore how participants edit their selfies, imagine potential audiences, interact with, and perceive the filtering behaviors of others, asking what the “work” of filters is, visually and socially. We probe the kinds of discourses filters participate in, and their gendered and affective dimensions. Our focus groups indicate that when looking at the selfies of others there is often an a priori assumption that filtering has been applied, whether conspicuously or not, to the extent that visual tune-ups have become central to the genre itself. As such, we explore the ambivalence and anxiety about authenticity that filters produce, as well as the intense looking practices aimed at decoding the legitimacy of images. We posit that filters are part of a digital ecosystem that demands an intensification of looking practices, which produce and enhance specific forms of objectification directed toward selves and others within digital environments.
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Mamidisetti, Gowtham, Ranganath Ponnaboyina, and Ramesh Makala. "An Efficient Image Compression Using Pixel Filter for Social media applications." International Journal of Innovative Computing and Applications 13, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijica.2021.10040323.
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Postill, John. "Populism and social media: a global perspective." Media, Culture & Society 40, no. 5 (May 8, 2018): 754–65. http://dx.doi.org/10.1177/0163443718772186.
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The link between the spread of social media and the recent surge of populism around the world remains elusive. A global, rather than Western, theory is required to explore this connection. Such a theory would need to pay particular attention to five questions, namely, the roots of populism, ideology and populism, the rise of theocratic populism, social media and non-populist politicians, and the embedding of social media in larger systems of communication. In this essay, I draw from a range of cross-cultural examples to argue that social media are inextricable from a dense web of highly diverse online and offline communicative practices. Like most other forms of political communication, populism is twice hybrid, in that it entails the ceaseless interaction between old and new media as well as between online and offline sites of communication. Populists never operate in a vacuum or indeed in a filter bubble: they share hybridly mediated spaces and arenas with other populists and with non-populists. Over time, these varied political actors have co-evolved media strategies and tactics in full awareness of one another’s existence.
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Qadri, Muhammad. "PENGARUH MEDIA SOSIAL DALAM MEMBANGUN OPINI PUBLIK." Qaumiyyah: Jurnal Hukum Tata Negara 1, no. 1 (June 30, 2020): 49–63. http://dx.doi.org/10.24239/qaumiyyah.v1i1.4.
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This paper discusses how the influence of social media in building public opinion. The use of social media has a positive impact in the process of social, political and economic interactions. The use of social media also makes it easy to access various information needed, makes it easy to communicate rarely far away and social media can also be a tool to make new friends. Of the various positive impacts of social media, it turns out that it also has a negative impact if users cannot properly filter news or information that contains divisions, hoaxes or fake news, sara issues, religion and others that are carried out by people who are not responsible, then it can cause chaos which will certainly split the unity.
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Varman, Rahul M., Nicole Van Spronsen, Mia Ivos, and Joshua Demke. "Social Media Filter Use and Interest to Pursue Cosmetic Facial Plastic Procedures." American Journal of Cosmetic Surgery 38, no. 3 (January 7, 2021): 181–86. http://dx.doi.org/10.1177/0748806820985751.
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Our aim was to explore the effect of social media face-altering programs on desire for subsequent facial plastic procedures. This was a cross-sectional survey study in two cities, incorporating participants ages 18 to 29 in undergraduate and graduate programs. Demographic and social media–specific factors were descriptively and quantitatively analyzed. Total respondents were n = 398. The use of face-enhancing Instagram filters was associated with subsequent desire to undergo facial plastic procedures (chi-square = 5.04, p < .05). History of prior psychiatric diagnosis was also independently associated with a desire to undergo facial plastic procedures (chi-square = 7.34, p < .05). The use of face-altering software on social media has a significant association with subsequent desire to undergo facial cosmetic procedures. Comorbid psychiatric disorders also independently have a significant effect on the desire to pursue such procedures. Continued studies and elucidation of these factors may benefit the facial plastic surgeon for appropriate counseling and management to optimize patient outcomes.
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Engel, Samantha, and Linda Lee-Davies. "The Impact of Social Media on Knowledge Culture." International Journal of Smart Education and Urban Society 10, no. 1 (January 2019): 37–48. http://dx.doi.org/10.4018/ijseus.2019010104.
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Culture is not static and technological innovations have greatly changed culture throughout history, no more so than in recent years. Modern culture is very much influenced and defined by recent technology and media use, primarily through social media applications such as Facebook, Instagram, LinkedIn, Snapchat and Twitter. Although use and impact vary around the world, globalization brings this cultural change into wider and faster channels. Social media has transformed the way people interact and learn in local, national and international terms as well as evolving new social practices. Echo chambers, filter bubbles, and fake news dominate the internet and people's lives, determining and even limiting the content of learning that people are exposed to on social media platforms. This, in itself, channels cultural practice into homogenized tranches creating a cyclical influence which feeds back into evolving technology. This article sets out to discuss the current cultural impact of social media, its limitation on learning and surface the ethical issues surrounding its use.
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Nazarov, M. M. "Media Platforms and Algorithms: content and social implications." Communicology 8, no. 2 (June 30, 2020): 108–24. http://dx.doi.org/10.21453/2311-3065-2020-8-2-108-124.
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The paper considers the new features of the digital media environment associated with the widespread introduction of platforms and algorithms in media practices and reveals the technological, business and social background of these innovations. The application of platforms and algorithms is a powerful tool for implementing the commercial imperative in the media. In general, this is a characteristic feature of the development of modern society – a trend towards comprehensive metrization. Along with the advantages, the use of predictive algorithms, personalization of content based on tracking of past communicative behavior has a number of negative social consequences. E.g., ‘filter bubbles’ contribute to the formation of closed information segments. The model of social behaviorism underlying the recommendation services contributes to the modification of people’s informational behavior. Algorithmization of media landscape strengthens the trends of content delivery to individual consumers, and not to citizens inclined to make joint decisions regarding the common interests of social life.
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Ladeiras-Lopes, Ricardo, Lavinia Baciu, Julia Grapsa, Afzal Sohaib, Rafael Vidal-Perez, Allan Bohm, Harri Silvola, et al. "Social media in cardiovascular medicine: a contemporary review." European Heart Journal - Digital Health 1, no. 1 (November 1, 2020): 10–19. http://dx.doi.org/10.1093/ehjdh/ztaa004.
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Abstract Social media increasingly impact both the private and professional lives of the majority of the population, including individuals engaged in cardiovascular healthcare and research. Healthcare providers across the world use social media platforms such as Twitter or Facebook to find medical and scientific information, to follow scientific meetings, to discuss individual clinical cases with colleagues, and to engage with patients. While social media provide a means for fast, interactive and accessible communication without geographic boundaries, their use to obtain and disseminate information has limitations and the potential threats are not always clearly understood. Governance concerns include a lack of rigorous quality control, bias due to the pre-selection of presented content by filter algorithms, and the risk of inadvertent breach of patient confidentiality. This article provides information and guidance regarding the role and use of social media platforms in cardiovascular medicine, with an emphasis on the new opportunities for the dissemination of scientific information and continuing education that arise from their responsible use.
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Triana, Rinanda, Nurdin Hidayah, and Daeng Noerdjamal. "RANCANGAN PENGELOLAAN SOCIAL MEDIA MARKETING ENGAGEMENT." Jurnal IPTA 9, no. 1 (July 19, 2021): 188. http://dx.doi.org/10.24843/ipta.2021.v09.i01.p19.
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This research intends to designed the engagement management of facebook and instagram of Management Unit of Jakarta Historical Museums formed by 3 major elements in managing social media interactions namely creator-related features, contextual features, and content features. This study used kualitatif method with descriptive approach by conducting interviews with companies and visitors, also observation on their social media. Which the results be analyzed using the Miles and Huberman analysis model and tested the validity of the data using source triangulation technique. The results of this research show that Management Unit of Jakarta Historical Museums has operator division in managing their social media consisting of coordinator and three admins, but there is no classification of admin’s job description in managing their social media. From both social media, the interaction that exists on facebook and instagram is still not optimal can be seen from the average number of likes and comment that has not shown a significant number. Interesting content for visitors is informative, provide detailed information, the right composition and layout, and use filters that are not excessive.
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Fohringer, J., D. Dransch, H. Kreibich, and K. Schröter. "Social media as an information source for rapid flood inundation mapping." Natural Hazards and Earth System Sciences Discussions 3, no. 7 (July 1, 2015): 4231–64. http://dx.doi.org/10.5194/nhessd-3-4231-2015.
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Abstract. During and shortly after a disaster data about the hazard and its consequences are scarce and not readily available. Information provided by eye-witnesses via social media are a valuable information source, which should be explored in a more effective way. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in case of floods. The novelty of this approach is the utilization of quantitative data that are derived from photos from eye-witnesses extracted from social media posts and its integration with established data. Due to the rapid availability of these posts compared to traditional data sources such as remote sensing data, for example areas affected by a flood can be determined quickly. The challenge is to filter the large number of posts to a manageable amount of potentially useful inundation-related information as well as their timely interpretation and integration in mapping procedures. To support rapid inundation mapping we propose a methodology and develop a tool to filter geo-located posts from social media services which include links to photos. This spatial distributed contextualized in-situ information is further explored manually. In an application case study during the June 2013 flood in central Europe we evaluate the utilization of this approach to infer spatial flood patterns and inundation depths in the city of Dresden.
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Januar Ali, Denny, and Eriyanto Eriyanto. "Political Polarization and Selective Exposure of Social Media Users in Indonesia." Jurnal Ilmu Sosial dan Ilmu Politik 24, no. 3 (June 4, 2021): 268. http://dx.doi.org/10.22146/jsp.58199.
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This study is intended to answer the question of how political polarization is related to social media users’ posts about Covid-19. The researchers chose health cases related to Covid-19 instead of political issues (e.g. elections) to prove that this political polarization has spread to many areas. The research also wants to see the relationship between this political polarization and selective exposure. Theories applied in this study are polarization, filter bubble, and selective exposure. The study applied two methods: social media network analysis and content analysis. The network analysis included 82,156 posts, while the content analysis was carried out on 4,050 social media accounts. The research outcome proves the occurrence of political polarization. Social media users were divided into two major groups, namely pro-Jokowi and anti-Jokowi. Each group interacted with fellow users who had the same political choices and shared the same message content. Users with certain political choices tend to receive the same information as their political choices, and ignore information from other political parties. Another interesting finding from this study is how this polarization was sharpened by the use of hashtags. Each party (supporters and oppositions of Jokowi) uses hashtags to create solidarity and mobilization from each supporter. Research also proves the validity of the selective exposure and filter bubble hypothesis in the Indonesian context.
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Singh, Prabhsimran, Karanjeet Singh Kahlon, Ravinder Singh Sawhney, Rajan Vohra, and Sukhmanjit Kaur. "Social media buzz created by #nanotechnology: insights from Twitter analytics." Nanotechnology Reviews 7, no. 6 (December 19, 2018): 521–28. http://dx.doi.org/10.1515/ntrev-2018-0053.
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AbstractThe word “nanotechnology” has been exaggerated not only by media but also by scientist groups who have overstated the unforeseen benefits of nanotechnology to validate research funding. Even ecologists, who normally remain indulged in doom-and-gloom divinations, use this word to fuel their own motives. Such outcomes lead to widespread misinformation and an unaware public. This research work is a staunch effort to filter the Twitter-based public opinions related to this word. Our results clearly indicate more of positive sentiments attached to the subject of nanotechnology, as trust, anticipation and joy overweigh by many folds the anger, mistrust and anger related to nanotechnology.
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Santarossa, Sara, Paige Coyne, and Sarah J. Woodruff. "Exploring #nofilter Images When a Filter Has Been Used." International Journal of Virtual Communities and Social Networking 9, no. 1 (January 2017): 54–63. http://dx.doi.org/10.4018/ijvcsn.2017010104.
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Many social media users rely on photo editing techniques in order to receive more positive attention (i.e., likes/comments) online. This study used a mixed methods approach to conduct a descriptive analysis of #nofilter use by Instagram users. By using #nofilter users are making a point that they did not edit/manipulate their images. Of particular interest were those who used #nofilter but did filter their images. A text analysis of 18,366 images was conducted using Netlytic, reveling the largest content category as ‘appearance'. A content analysis was used to examine authors of #nofilter images whom did use a filter, and photo-coding scheme for this group of images was implemented. Of 18,366 images collected that used #nofilter, 12% (N=1630) did in fact use a filter. Listwise deletions were conducted and 1344 images remained. Results suggest the majority of accounts were personal, and belonged to females and of the images, majority had people in them. People using #nofilter do in fact filter their images and research into the reasons for deceit on social media is needed.
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Fohringer, J., D. Dransch, H. Kreibich, and K. Schröter. "Social media as an information source for rapid flood inundation mapping." Natural Hazards and Earth System Sciences 15, no. 12 (December 21, 2015): 2725–38. http://dx.doi.org/10.5194/nhess-15-2725-2015.
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Abstract. During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. Information provided by eyewitnesses via social media is a valuable information source, which should be explored in a~more effective way. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The novelty of this approach is the utilization of quantitative data that are derived from photos from eyewitnesses extracted from social media posts and their integration with established data. Due to the rapid availability of these posts compared to traditional data sources such as remote sensing data, areas affected by a flood, for example, can be determined quickly. The challenge is to filter the large number of posts to a manageable amount of potentially useful inundation-related information, as well as to interpret and integrate the posts into mapping procedures in a timely manner. To support rapid inundation mapping we propose a methodology and develop "PostDistiller", a tool to filter geolocated posts from social media services which include links to photos. This spatial distributed contextualized in situ information is further explored manually. In an application case study during the June 2013 flood in central Europe we evaluate the utilization of this approach to infer spatial flood patterns and inundation depths in the city of Dresden.
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Wijanarko, Anggit Wahyu. "The Value of Pancasila as a Filter on Foreign Culture in the Era of the Information Technology (IT) Development Social Media." Social, Humanities, and Educational Studies (SHEs): Conference Series 4, no. 4 (April 23, 2021): 270. http://dx.doi.org/10.20961/shes.v4i4.50620.
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<em><span lang="EN-US">This research is motivated by the increasingly advanced technological developments, especially in terms of the use of social media. Social media in the era of advances in information technology allows us to more freely relate to people in various parts of the world. This can have both positive and negative impacts. One thing that needs to be addressed is the easier it is for foreign cultures to enter through social media which can affect national identity. Therefore, Pancasila as the nation's view of life means that Pancasila is the guideline for every behavior of the Indonesian nation. The values contained in Pancasila should be able to become a filter against incoming foreign cultures due to the easier access to social media in the current era of technological advancement. The formulation and purpose of this research is to provide a descriptive analysis of the application of Pancasila values as a filter against foreign cultures in the era of advances in social media information technology. The method used in this research is qualitative with a descriptive analysis approach. The data analysis technique used is content analysis. The benefits of this research are; 1) this research can be used as a reference for further similar studies, 2) this research can be used as an illustration of the application of Pancasila values in the filtering of foreign cultures in the era of advancing social media technology.</span></em>
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Maulida, Desi, Irma Juraida, Arfriani Maifizar, and Rahmah Husna Yana. "Sosialisasi Kecerdasan dalam Memaknai Pesan Media Era Digital: Fakta Versus Hoax di Pesantren Nurul Falah Meulaboh." Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar 1, no. 1 (December 28, 2019): 83. http://dx.doi.org/10.35308/baktiku.v1i1.1426.
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Education about the use of media especially digital media is now important to be given to all levels of society, especially the younger generation, so that this socialization is aimed at students at the Nurul Falah Islamic Boarding School Dayah Inti Meulaboh. The method of socialization used was the presentation of theories about social media including how to distinguish between facts and hoax. The socialization took place interactively, there was a discussion room so as to facilitate the speaker in achieving the objectives of the socialization.. The results of socialization show that initially the students did not really understand related to how to filter information to distinguish hoax and facts. That is because, they are less intense using handphone, so that students can easily trust information obtained from the internet, especially social media. With this socialization, students have been theoretically equipped about how to filter information and distinguish between hoax and facts, and are able to stimulate students to be more observant and critical in responding to information.
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Cresswell, Kathrin, Ahsen Tahir, Zakariya Sheikh, Zain Hussain, Andrés Domínguez Hernández, Ewen Harrison, Robin Williams, Aziz Sheikh, and Amir Hussain. "Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis." Journal of Medical Internet Research 23, no. 5 (May 17, 2021): e26618. http://dx.doi.org/10.2196/26618.
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Background The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments consider contact tracing of citizens through apps installed on mobile phones as a key mechanism to contain the spread of SARS-CoV-2. Objective In this study, we sought to explore the suitability of artificial intelligence (AI)–enabled social media analyses using Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps in the United Kingdom. Methods We extracted and analyzed over 10,000 relevant social media posts across an 8-month period, from March 1 to October 31, 2020. We used an initial filter with COVID-19–related keywords, which were predefined as part of an open Twitter-based COVID-19 dataset. We then applied a second filter using contract tracing app–related keywords and a geographical filter. We developed and utilized a hybrid, rule-based ensemble model, combining state-of-the-art lexicon rule-based and deep learning–based approaches. Results Overall, we observed 76% positive and 12% negative sentiments, with the majority of negative sentiments reported in the North of England. These sentiments varied over time, likely influenced by ongoing public debates around implementing app-based contact tracing by using a centralized model where data would be shared with the health service, compared with decentralized contact-tracing technology. Conclusions Variations in sentiments corroborate with ongoing debates surrounding the information governance of health-related information. AI-enabled social media analysis of public attitudes in health care can help facilitate the implementation of effective public health campaigns.
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Zhang, Lu. "Legal and Ethical Implications of Using Social Media in Human Resource Management." International Journal of Innovation 2, no. 1 (June 1, 2014): 65–76. http://dx.doi.org/10.5585/iji.v2i1.14.
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Now more than ever we live in a society saturated with technology and media. We are captured by the technology whirlwind such as the internet, instant messages, emails, and social media such as Twitter and Facebook. Technologies not only are changing the way people live, work, and interact with each other but also the way companies conduct their businesses. Social media no doubt is one of such technologies that enables companies to market their products and services in new and unique dimensions. Beyond marketing, social media is also changing the way human resource professionals recruit and select employees. Recruiting and selecting potential new employees using social media, is gaining popularity. There are even software programs that capitalize on the information available on social media sites to assist human resources professionals to source, screen, and track job applicants. Although there are many advantages in using social media networks to assist HR to select and filter job candidates, there are reasons for concerns. In this paper, we’ll examine the legal and ethical consequences of using social media in the area of human resource management. Keywords: Social Media, Facebook, Human Resources, Management.
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Costanza-Chock, Sasha. "Media, communication, and intersectional analysis: ten comments for the International Panel on Social Progress." Global Media and Communication 14, no. 2 (May 29, 2018): 201–9. http://dx.doi.org/10.1177/1742766518776695.
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This article responds to the International Panel on Social Progress (IPSP) chapter ‘Media, Communication, and the Struggle for Social Progress.’ I argue that in order to advance the IPSP’s goals of progress towards a media system that advances human capabilities, we must name specific forms of structural oppression (what Black feminist scholars call the matrix of domination). I note that the IPSP should develop an intersectional analysis of media representation, employment, and ownership; that online hate speech must be addressed; and that the ‘filter bubble’ critique ignores the importance of subaltern counterpublics, although state and corporate propaganda is indeed a real problem. I urge application of a design justice lens, and identify free software as one important tool. I call attention to media policy proposals by social movements. Finally, I note the development of new tools for media analysis and encourage their application to an intersectional Media Equity Index.
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Chandra Kusuma, Dian Novita Sari, and Roswita Oktavianti. "Penggunaan Aplikasi Media Sosial Berbasis Audio Visual dalam Membentuk Konsep Diri (Studi Kasus Aplikasi Tiktok)." Koneksi 4, no. 2 (October 1, 2020): 372. http://dx.doi.org/10.24912/kn.v4i2.8214.
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TikTok social media is popular with various groups and age groups. TikTok is an audio visual based social media application that contains short videos that are homemade or made by other people who entertain with interesting features such as the latest music, unique face filters and others. This study uses the Theory of Uses and Gratifications to determine individual satisfaction in using TikTok social media. Social media can shape the self-concept of its users based on internal factors (physical and psychological) and external factors (other people and reference groups). This study aims to find out how the use of audio visual-based social media in shaping the self-concept of users with different age levels. This study uses a qualitative approach with a case study method for users of TikTok social media. Data collection was carried out using observations and interviews with 4 sources of users of TikTok applications who have different age levels. The results of this study indicate differences in the age level of TikTok users affect the duration of using the application also affect the formation of self-concept formed by the speakers. The use of the TikTok application forms the self-concept of the resource person in a positive direction such as increasing the confidence of the resource person to show his identity and negative self-concepts such as lack of time management.Media sosial TikTok digemari oleh berbagai kalangan dan jenjang umur. TikTok adalah aplikasi media sosial berbasis audio visual yang berisikan video-video pendek buatan sendiri maupun buatan orang lain yang menghibur dengan fitur-fitur menarik seperti musik terbaru, filter wajah yang unik dan lain-lain. Penelitian ini menggunakan Teori Uses and Gratifications untuk mengetahui kepuasan individu dalam menggunakan media sosial TikTok. Media sosial dapat membentuk konsep diri dari penggunanya berdasarkan faktor internal (fisik dan psikis) dan faktor eksternal (orang lain dan kelompok rujukan). Penelitian ini bertujuan untuk mengetahui bagaimana penggunaan media sosial berbasis audio visual dalam membentuk konsep diri penggunanya dengan jenjang umur yang berbeda. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus terhadap pengguna media sosial TikTok. Pengumpulan data dilakukan menggunakan observasi dan wawancara kepada 4 narasumber pengguna aplikasi TikTok yang memiliki jenjang umur yang berbeda. Hasil dari penelitian ini menunjukkan perbedaan jenjang umur pengguna TikTok mempengaruhi durasi dalam menggunakan aplikasi juga mempengaruhi pembentukan konsep diri yang dibentuk oleh narasumber. Penggunaan aplikasi TikTok membentuk konsep diri narasumber ke arah positif seperti meningkatkan kepercayaan diri narasumber untuk menunjukkan jati dirinya dan konsep diri negatif seperti kurangnya dalam mengatur waktu.
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Hunter, Margaret. "Technologies of Racial Capital." Contexts 18, no. 4 (November 2019): 53–55. http://dx.doi.org/10.1177/1536504219884073.
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Drucker, Susan J., and Gary Gumpert. "The Impact of Digitalization on Social Interaction and Public Space." Open House International 37, no. 2 (June 1, 2012): 92–99. http://dx.doi.org/10.1108/ohi-02-2012-b0011.
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The tradition of urban public space confronts the reality of a ubiquitous, mobile ‘me media’ filled environments. Paradoxically, the ability to connect globally has the tendency of disconnecting location. The examination of modern public spaces, diversity and spontaneity in those spaces requires recognition of the transformative power of changes in the media landscape. Compartmentalization or segregation of interaction based on choice shapes attitudes toward diversity. In the digital media environment the individual blocks, filters, monitors, scans, deletes and restricts while constructing a controlled media environment. Modern urban life is lived in the interstice between physical and mediated spaces (between physical local and virtual connection) the relationship to public space. Augmented with embedded and mobile media public spaces simultaneously offer those who enter a combination of connection and detachment. This paper utilizes a media ecology model.
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Hidayat, Taufik, and Rahutomo Mahardiko. "The Effect of Social Media Regulatory Content Law in Indonesia." Journal of Telecommunications and the Digital Economy 8, no. 2 (June 30, 2020): 110–22. http://dx.doi.org/10.18080/jtde.v8n2.247.
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Nowadays, information technology (IT) has been used widely in the world. People use IT in their jobs and get the latest information about everything that happens in the world. Therefore, IT has a big impact on peoples’ lives. Information can be found easily in a news portal, social media, and a search engine. This study used social media WhatsApp, Telegram, Facebook, and Instagram as the primary sources. In using social media, people can share positive (news, current research) or negative (hoax) information. Unfortunately, messages can be shared without verifying their truthfulness. Many people have used social media to share fake news and bullying. Hong Kong, France, Indonesia and Venezuela are examples of countries where a hoax has become the part of peoples’ lives. In Indonesia, the government created a Constitutional Law (CL), Undang-Undang Informasi dan Transaksi Elektronik (CL of Information and Electronic Transactions), to regulate responses to negative information and filter this kind of information. This paper analyses the effect of social media regulatory law and hoax news on social life. The results of this study show that the Indonesian CL could be useful to regulate the use of social media in other countries.
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Lumban Gaol, Ford, Tokuro Matsuo, and Ardian Maulana. "Network Model for Online News Media Landscape in Twitter." Information 10, no. 9 (September 5, 2019): 277. http://dx.doi.org/10.3390/info10090277.
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Today, most studies of audience networks analyze the landscape of the news media on the web. However, media ecology has been drastically reconfigured by the emergence of social media. In this study, we use Twitter follower data to build an online news media network that represents the pattern of news consumption in Twitter. This study adopted a weighted network model proposed by Mukerjee et al. and implemented the Filter Disparity Method suggested by Majó-Vázquez et al. to identify the most significant overlaps in the network. The implementation result on news media outlets data in three countries, namely Indonesia, Malaysia, and Singapore, shows that network analysis of follower overlap data can offer relevant insights about media diet and the way readers navigate various news sources available on social media.
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Najwa, Nina Fadilah, Muhammad Ariful Furqon, Endah Septa Sintiya, and Ari Cahaya Puspitaningrum. "AKUISISI DATA MEDIA SOSIAL PEMERINTAH UNTUK MENGANALISIS KETERBUKAAN INFORMASI PENYEBARAN COVID-19." Jurnal Sosioteknologi 20, no. 1 (April 27, 2021): 46–55. http://dx.doi.org/10.5614/sostek.itbj.2021.20.1.5.
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The Covid-19 pandemic is spreading rapidly throughout the world, including in Indonesia. Every province in Indonesiahas been using social media to share Covid-19 information. This study aims to see the activeness and openness ofprovincial governments’ social media about Covid-19 information. The steps taken were crawling data on governments’social media, namely Instagram by taking 300 posts. Then, data extraction was carried out to filter data related to Covid19. This study also conducted a comparison or ranking of provinces that have had Covid-19 confirmed cases. The resultsshow that DKI Jakarta Province is the area that has the most Covid-19 confirmed patients. Meanwhile, the most activesocial media is North Sumatra Province. There is an influence on the growth rate of confirmed cases of Covid-19 with theactive provincial government social media. The research contribution has provided the analysis results of data acquisitionand is used as knowledge for government officials to increase the social media activeness of their local government.
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H, Harshitha, and Mohammed Rafi. "BlogNewsRank: Finding and Ranking Frequent News Topics Using Social Media Factors." JOIV : International Journal on Informatics Visualization 2, no. 3 (May 19, 2018): 166. http://dx.doi.org/10.30630/joiv.2.3.134.
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In early days, mass media sources such as news media used to inform us about daily events. Now a days, social media services such as Twitter huge amount of user-generated data, which has a great potential to contain informative news-related content. For these resources to be useful, we have to find a way to filter noise and capture the content that, based on its similarity to the news media, is considered valuable. Even after noise is removed, information overload may still exist in the remaining data. Hence it is convenient to prioritize it for consumption. To achieve prioritization, information must be ranked in order of estimated importance considering mainly three factors. First, the temporal prevalence of a particular topic in the news media is a factor of importance, and can be considered the media focus (MF) of a topic. Second, the temporal prevalence of the topic in social media indicates its user attention (UA). Last, the interaction between the social media users who mention this topic indicates the strength of the community discussing it, and can be regarded as the user interaction (UI) toward the topic. We propose an unsupervised framework—BlogNewsRank—which identifies news topics prevalent in both social media and the news media, and then ranks them by relevance(frequency) using their degrees of MF, UA, and UI.
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Mahyoob, Mohammad, Jeehaan Algaraady, and Musaad Alrahaili. "Linguistic-Based Detection of Fake News in Social Media." International Journal of English Linguistics 11, no. 1 (November 17, 2020): 99. http://dx.doi.org/10.5539/ijel.v11n1p99.
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The tremendous growth and impact of fake news as a hot research field gained the public’s attention and threatened their safety in recent years. However, there is a wide range of developed fashions to detect fake contents, either those human-based approaches or machine-based approaches; both have shown inadequacy and limitations, especially those fully automatic approaches. The purpose of this analytic study of media news language is to investigate and identify the linguistic features and their contribution in analyzing data to detect, filter, and differentiate between fake and authentic news texts. This study outlines promising uses of linguistic indicators and adds a rather unconventional outlook to prior literature. It utilizes qualitative and quantitative data analysis as an analytic method to identify systematic nuances between fake and factual news in terms of detecting and comparing 16 attributes under three main linguistic features categories (lexical, grammatical, and syntactic features) assigned manually to news texts. The obtained datasets consist of publicly available right documents on the Politi-fact website and the raw (test) data set collected randomly from news posts on Facebook pages. The results show that linguistic features, especially grammatical features, help determine untrustworthy texts and demonstrate that most of the test news tends to be unreliable articles.
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Murali, Dr D., and Vinutha BA. "A new approach of ranking prevalent news topics from social media using unsupervised techniques." International Journal of Engineering and Computer Science 8, no. 07 (July 26, 2019): 24683–789. http://dx.doi.org/10.18535/ijecs/v8i07.4343.
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The precious data from online origin has developed into a extended research. The mass media and news media provides the daily events to the common people. Huge amount of information is been achieved by an online social media suchlike Twitter, which contains more information about news-associated content. It is necessary to find a way to filter noise, for these resources to be useful and grab the content that is depend on the similarity to news media. Despite after the noise is eliminated the excessive data still remain in the data so it is essential to prioritize it for utilization. We are introducing three factors for prioritization. The unsupervised technique finds the news topics that are common in the pair of social media and news media, and then ranks them by the applicability factors such as MF, UA and UI. Initially the temporal prevalence of the appropriate topic in news media focus (MF). Secondary the temporal prevalence of the appropriate topic in social media illustrates the user attention (UA). Finally the interconnection among the social media users who specify this topic demonstrates the power of the society who is discussing; it is termed as the user interaction (UI).
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Adams, Nikki, Eleanor Erin Artigiani, and Eric D. Wish. "Choosing Your Platform for Social Media Drug Research and Improving Your Keyword Filter List." Journal of Drug Issues 49, no. 3 (March 13, 2019): 477–92. http://dx.doi.org/10.1177/0022042619833911.
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Aramburu, María José, Rafael Berlanga, and Indira Lanza. "Social Media Multidimensional Analysis for Intelligent Health Surveillance." International Journal of Environmental Research and Public Health 17, no. 7 (March 28, 2020): 2289. http://dx.doi.org/10.3390/ijerph17072289.
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Background: Recent work in social network analysis has shown the usefulness of analysing and predicting outcomes from user-generated data in the context of Public Health Surveillance (PHS). Most of the proposals have focused on dealing with static datasets gathered from social networks, which are processed and mined off-line. However, little work has been done on providing a general framework to analyse the highly dynamic data of social networks from a multidimensional perspective. In this paper, we claim that such a framework is crucial for including social data in PHS systems. Methods: We propose a dynamic multidimensional approach to deal with social data streams. In this approach, dynamic dimensions are continuously updated by applying unsupervised text mining methods. More specifically, we analyse the semantics and temporal patterns in posts for identifying relevant events, topics and users. We also define quality metrics to detect relevant user profiles. In this way, the incoming data can be further filtered to cope with the goals of PHS systems. Results: We have evaluated our approach over a long-term stream of Twitter. We show how the proposed quality metrics allow us to filter out the users that are out-of-domain as well as those with low quality in their messages. We also explain how specific user profiles can be identified through their descriptions. Finally, we illustrate how the proposed multidimensional model can be used to identify main events and topics, as well as to analyse their audience and impact. Conclusions: The results show that the proposed dynamic multidimensional model is able to identify relevant events and topics and analyse them from different perspectives, which is especially useful for PHS systems.
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Nandani, Ayuwan. "MEMANFAATKAN MEDIA SOSIAL SEBAGAI SARANA DAKWAH BAGI AKADEMISI MUSLIM." Jurnal Ilmiah Mahasiswa Raushan Fikr 7, no. 1 (January 19, 2018): 51–64. http://dx.doi.org/10.24090/jimrf.v7i1.2146.
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This paper examines the role of Islamic higher education students in answering the problems of community life, especially in the field of religion. Technological advances have a major impact on the spread of information on social media. In social media in the postmodern era, people are flooded with a variety of information that cannot be guaranteed. So that the active role of Islamic university students is needed to filter information related to religion. In reviewing this, quantitative and qualitative research is carried out by observing, interviewing and documenting studies. This research is devoted to the practice of the field on social media which is used as a place to appreciate da’wah. Social media is in the form of Facebook, Instagram, Twitter, and even communication media like WhatsApp. From this research, the results obtained that social media can be a supporting tool for preaching. This can be used by students of Islamic universities in Indonesia. Especially students majoring in Interpretation to preach in the crowd. In addition, their preaching on social media can be the right reference, namely to answer the daily problems of the people in Indonesia.
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Surve, Sophia. "Comparative Study of Emojis and Filters for Enhancing Presence on Social Media." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 308–13. http://dx.doi.org/10.22214/ijraset.2018.3046.
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Rizun, Volodymyr, Yurii Havrylets, Alla Petrenko-Lysak, Sergii Tukaiev, Anton Popov, Daryna Ivaskevych, and Yuliia Yachnik. "Stressogenic Elements of the Latent Impact of Real Media Reports on the COVID-19 Pandemic on Social Groups (Reporting the Methodology and Research Planning)." Current Issues of Mass Communication, no. 28 (2020): 10–27. http://dx.doi.org/10.17721/2312-5160.2020.28.10-27.
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This article reveals the preparation for the investigation of the latent impact of media reports about COVID-19 on social groups. The research project of the Institute of Journalism, funded by the National Research Foundation of Ukraine, shows how to use media monitoring to form an experimental sample of media reports on COVID-19 as well as how to make a sociological and psychological description of the method of forming experimental groups. The purpose of this study is to form a methodological basis for experiments. We will use all this as a proven tool for organizing experiments in the subsequent stages of research. Accordingly, the search for media messages on the topic of COVID-19 by the LOOQME service showed the existence of an information boom in the media (this does not take into account the flow of messages on social networks), measured daily by tens of thousands of media messages. Undoubtedly, each person does not “digest” so much information, respectively, is not affected by it in full. Therefore, the question arises about the functioning of a human being as an interpreter of specific messages available to them, but taking into account public opinion as an interpretive filter: what people are saying and how they relate to COVID. All this is the filter that sets the vector of perception and understanding. This factor we will take into account in the following stages of the project.
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Arnus, Sri Hadijah. "DAKWAH YANG BERLITERASI MEDIA: UPAYA DERADIKALISASI DI LINGKUP KAMPUS IAIN KENDARI." Palita: Journal of Social-Religion Research 2, no. 2 (August 20, 2018): 119–28. http://dx.doi.org/10.24256/pal.v2i2.121.
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The new media era is a time when every individual has a virtual community other than their community in the real world. The high interactivity of social media and its decentralized nature allows for the enormous flow of information that inflicts social media users. This of course can have a positive impact, but it can also bring a negative effect. To counteract the negative effects of social media, media literacy is needed, in this case for students. Media literacy is done to form a filter on students, in the face of negative exposure in social media that can give effect to the formation of a stereotype of a person against a particular ethnic or religious groups, as well as information charged with radicalism. It is deemed necessary to see IAIN Kendari students who have very diverse ethnic backgrounds and different organizational backgrounds of different groups, thus affecting the difference of individuals in making decisions or in dealing with various forms of information from social media. Media literacy is done through the way of da'wah is to provide understanding to the students how the media to construct a message that is combined with messages that contain knowledge about Islam. This paper will describe the media literacy model for IAIN Kendari students with the form of da'wah which aims to counteract the understanding of radicalism obtained through social media, for IAIN students Kendari.
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Arnus, Sri Hadijah. "DAKWAH YANG BERLITERASI MEDIA: UPAYA DERADIKALISASI DI LINGKUP KAMPUS IAIN KENDARI." PALITA: Journal of Social - Religion Research 2, no. 2 (October 8, 2017): 119. http://dx.doi.org/10.24256/pal.v2i2.524.
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The new media era is a time when every individual has a virtual community other than their community in the real world. The high interactivity of social media and its decentralized nature allows for the enormous flow of information that inflicts social media users. This of course can have a positive impact, but it can also bring a negative effect. To counteract the negative effects of social media, media literacy is needed, in this case for students. Media literacy is done to form a filter on students, in the face of negative exposure in social media that can give effect to the formation of a stereotype of a person against a particular ethnic or religious groups, as well as information charged with radicalism. It is deemed necessary to see IAIN Kendari students who have very diverse ethnic backgrounds and different organizational backgrounds of different groups, thus affecting the difference of individuals in making decisions or in dealing with various forms of information from social media. Media literacy is done through the way of da'wah is to provide understanding to the students how the media to construct a message that is combined with messages that contain knowledge about Islam. This paper will describe the media literacy model for IAIN Kendari students with the form of da'wah which aims to counteract the understanding of radicalism obtained through social media, for IAIN students Kendari.
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Dahlgren, Peter M. "A critical review of filter bubbles and a comparison with selective exposure." Nordicom Review 42, no. 1 (January 1, 2021): 15–33. http://dx.doi.org/10.2478/nor-2021-0002.
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Abstract The new high-choice media environment has raised concerns that users of social networking sites primarily select political information that supports their political opinions and avoid information that challenges them. This behaviour is reinforced by personalisation algorithms that create filter bubbles and both narrow the available content and exclude challenging information over time. These concerns have, however, been contested. This article challenges the underlying theoretical assumptions about filter bubbles, and compares filter bubbles to what we already know about selective exposure and human psychology. The article lists nine counterarguments to the filter bubble thesis. In short, I argue that the assumptions of filter bubbles contradict many of the previous findings of selective exposure research. More specifically, when discussing filter bubbles there is a risk of confusing two arguments: one strong – but also trivial – that is about technology (e.g., personalisation leads to different information), and one weak and speculative – but also the most interesting – that is about society (e.g., personalisation increases political polarisation in society).
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Hidayah, Arina Rohmatul. "Persecution Act as Filter Bubble Effect: Digital Society and The Shift of Public Sphere." Jurnal Ilmu Sosial dan Ilmu Politik 22, no. 2 (January 4, 2019): 112. http://dx.doi.org/10.22146/jsp.33244.
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This article discusses persecution acts associated with the filter bubble effect, the condition of digital society, the concept of the public sphere and the rational action theory of Jurgen Habermas. The results, obtained through the literature research method, show that acts of persecution in social media can be caused by the personalization of the web. Social media allows the occurrence of large bubbles (filter bubbles) that make users reject ideologies or other truths. This becomes a revolution of mindset due to the freedom of information. Meanwhile, in the Habermas public sphere concept, which emphasizes the existence of a critical and rational discussion, this phenomenon indicates a shift. The shift that occurs brings about the lifeworld realm as the basis for the formation of the public sphere with its communicative action, again dominated by the system realm that is dominated by capitalist forces through strategic action. Thus, Habermas's initial goal of strengthening civil society's position against the dominance of the system is now changing.
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Khatimah, Husnul. "POSISI DAN PERAN MEDIA DALAM KEHIDUPAN MASYARAKAT." TASAMUH 16, no. 1 (December 1, 2018): 119–38. http://dx.doi.org/10.20414/tasamuh.v16i1.548.
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Mass media has an important position in people's lives, so mass media is placed as mass communication which acts as a communicator and agent of change, being a pioneer of change in the public environment that can influence audiences through messages such as information, entertainment, education and other messages and accessible to the public at large. As a form of the importance of media can be seen from the influence felt by the public, starting from the cognitive, effective, to conative aspects of the mass media and the negative-positive impact of social media. Even though the position and role of the media are very important, the community must also be careful with media remember that the nature of the media is so flexible. Negative values of the role of the media in Indonesia can occur either from the mass media or social media, so there needs to be attention from each party, both from the media manager to the community itself. The participation of several parties in paying attention to the media is expected to filter out negative things that might occur.
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Carlson, Bronwyn, and Ryan Frazer. "“They Got Filters”: Indigenous Social Media, the Settler Gaze, and a Politics of Hope." Social Media + Society 6, no. 2 (April 2020): 205630512092526. http://dx.doi.org/10.1177/2056305120925261.
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Social media technologies have had ambivalent political implications for Indigenous peoples and communities. On one hand, they constitute new horizons toward which settler colonial forces of marginalization, disenfranchisement, and elimination can extend and strengthen their power. On the other hand, social media have also offered opportunities to resist and reject the violence of colonization and its ideological counterparts of domination and racial superiority, and work toward imagining and realizing alternative futures. In this article, we draw on insights from settler colonial studies and affect theory to chart the politics of “affect” through the stories of Indigenous Australian social media users. We first argue that the online practices of Indigenous social media users are often mediated by an awareness of the ‘settler gaze’—that is, a latent audience of non-Indigenous others observing in bad faith. We then outline two responses to this presence described by participants: policing the online behaviors of friends and family, and circulating hopeful, inspiring, and positive content. If “policing” is about delimiting the things of which online bodies are capable, then an affective politics of hope is about expanding a body’s capacity to act and imagining other possible futures for Indigenous people.