Thematische Bibliographien / Social media filters

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Auswahl der wissenschaftlichen Literatur zum Thema „Social media filters“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 17. Februar 2022

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Zeitschriftenartikel zum Thema "Social media filters"

AlShehri, Bashayer, Aljawhra Alotaibi, Hind Alqhtani, Alaa AlAli und 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, Nr. 1 (12.08.2020): 1–3. http://dx.doi.org/10.1002/cala.40313.

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Mona, Eflina Nurdini Febrita, und 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, Nr. 2 (30.10.2020): 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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Triana, Rinanda, Nurdin Hidayah und Daeng Noerdjamal. „RANCANGAN PENGELOLAAN SOCIAL MEDIA MARKETING ENGAGEMENT“. Jurnal IPTA 9, Nr. 1 (19.07.2021): 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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Lavrence, Christine, und Carolina Cambre. „“Do I Look Like My Selfie?”: Filters and the Digital-Forensic Gaze“. Social Media + Society 6, Nr. 4 (Oktober 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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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, Nr. 3 (31.03.2018): 308–13. http://dx.doi.org/10.22214/ijraset.2018.3046.

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Matsick, Jes L., Lizbeth M. Kim und Mary Kruk. „Facebook LGBTQ Pictivism: The Effects of Women’s Rainbow Profile Filters on Sexual Prejudice and Online Belonging“. Psychology of Women Quarterly 44, Nr. 3 (10.06.2020): 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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Hunter, Margaret. „Technologies of Racial Capital“. Contexts 18, Nr. 4 (November 2019): 53–55. http://dx.doi.org/10.1177/1536504219884073.

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Drucker, Susan J., und Gary Gumpert. „The Impact of Digitalization on Social Interaction and Public Space“. Open House International 37, Nr. 2 (01.06.2012): 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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Li, Shugang, Ru Wang, Yuqi Zhang, Hanyu Lu, Nannan Cai und Zhaoxu Yu. „Potential social media influencers discrimination for concept marketing in online brand community“. Journal of Intelligent & Fuzzy Systems 41, Nr. 1 (11.08.2021): 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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Dissertationen zum Thema "Social media filters"

Skepetzis, Vasilios, und Pontus Hedman. „The Effect of Beautification Filters on Image Recognition : "Are filtered social media images viable Open Source Intelligence?"“. Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44799.

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In light of the emergence of social media, and its abundance of facial imagery, facial recognition finds itself useful from an Open Source Intelligence standpoint. Images uploaded on social media are likely to be filtered, which can destroy or modify biometric features. This study looks at the recognition effort of identifying individuals based on their facial image after filters have been applied to the image. The social media image filters studied occlude parts of the nose and eyes, with a particular interest in filters occluding the eye region. Our proposed method uses a Residual Neural Network Model to extract features from images, with recognition of individuals based on distance measures, based on the extracted features. Classification of individuals is also further done by the use of a Linear Support Vector Machine and XGBoost classifier. In attempts to increase the recognition performance for images completely occluded in the eye region, we present a method to reconstruct this information by using a variation of a U-Net, and from the classification perspective, we also train the classifier on filtered images to increase the performance of recognition. Our experimental results showed good recognition of individuals when filters were not occluding important landmarks, especially around the eye region. Our proposed solution shows an ability to mitigate the occlusion done by filters through either reconstruction or training on manipulated images, in some cases, with an increase in the classifier’s accuracy of approximately 17% points with only reconstruction, 16% points when the classifier trained on filtered data, and 24% points when both were used at the same time. When training on filtered images, we observe an average increase in performance, across all datasets, of 9.7% points.

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Wöldern, Lars. „Discovery and Analysis of Social Media Data : How businesses can create customized filters to more effectively use public data“. Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75275.

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The availability of prospective customer information present on social media platforms has led to many marketing and customer-facing departments utilizing social media data in processes such as demographics research, and sales and campaign planning. However, if your business needs require further filtration of data, beyond what is provided by existing filters, the volume and rate at which data can be manually sifted, is constrained by the speed and accuracy of employees, and their digital competency. The repetitive nature of filtration work, lends itself to automation, that ultimately has the potential to alleviate large productivity bottlenecks, enabling organizations to distill larger volumes of unfiltered data, faster and with greater precision. This project employs automation and artificial intelligence, to filter Linkedin profiles using customized selection criteria, beyond what is currently available, such as nationality and age. By introducing the ability to produce tailored indices of social media data, automated filtration offers organizations the opportunity to better utilize rich prospective data for more efficient customer review and targeting.

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Sobrino, Rada Gilma Sobrino, und Andrea Warbrandt. „#nofilter : En studie om vardagsretuschering på Instagram“. Thesis, Linnéuniversitetet, Institutionen för design (DE), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-45267.

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The main theme of this essay was; How does Instagram affect their users when it comes to everyday retouching and today’s ideal of beauty, and are there any differences between age and gender? To answer this question, the everyday retouching of the Instagram users selfies (self-portrait) was investigated and charted, to see how it affecting today’s ideal of beauty. We used a quantitative method and conducted an empirical study that was rooted in the Encoding/Decoding-model of Stuart Hall, Gidden’s theory of structuration, Cooley’s ”looking-glass self”, Lippman’s triangle, together with previous research and a web survey that was targeted to a random selection of Instagram users. The study contained a total of 194 self-recruiting respondents. We deemed it necessary to conduct this study, as it addressed an important topic that might be linked to the current fixation on appearance and today's ideal of beauty. The results showed that Instagram has a particular impact on its users when it comes to everyday retouching. The majority of respondents used Instagram’s built-in tools for their editing/retouching process. Our results also showed that half of the women edited/retouched their selfies. About half of the men who responded to the web survey edited/retouched their selfies. The clearest result of the study was that younger individuals had a tendency to edit/retouch their selfies more frequently.
Temat för uppsatsen var; Hur påverkar Instagram sina användare när det gäller vardagsretuschering och dagens skönhetsideal, samt finns det några skillnader mellan ålder och kön? Syftet var att undersöka och kartlägga Instagram användarnas vardagsretuschering och hur det påverkar dagens skönhetsideal, med fokus på användarnas selfies. Vi använde oss av en kvantitativ metod och utförde en empirisk studie som utgick från Encoding/Decoding- modellen av Stuart Hall, Giddens strukturering teori, Cooleys ”spegeljaget”, Lippmans triangel, tillsammans med tidigare forskning och en webbenkätundersökning som riktade sig till ett slumpmässigt urval av Instagrams användare. Studien hade sammanlagt 194 självrekryterande respondenter. Vi tyckte att det var viktigt att genomföra denna studie, då den innehöll ett relevant ämne som möjligtvis kan ha koppling till rådande utseendefixering och dagens skönhetsideal. Undersökningens resultat visade att Instagram har en viss påverkan på sina användare när det gäller vardagsretuschering. En majoritet av respondenterna använde Instagrams inbyggda verktyg i sin redigerings/retuscherings process. Vårt resultat visade även att hälften av kvinnorna redigerade/retuscherade sina selfies. Av de män som svarade redigerade/retuscherade cirka hälften sina selfies. Det tydligaste resultatet av studien var att de yngre har en tendens att redigera/retuschera sina selfies oftare.

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Cosic, Kristina, und Hanna Markgren. „Filter och retuschering - ett sätt att leva upp till skönhetsidealet? En kvalitativ studie om unga kvinnors upplevelser av bildmanipulationsverktyg på sociala medier“. Thesis, Örebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94152.

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For a long period, the fashion- and advertising industry have contributed to unattainable beauty ideals among young women and retouching is not a new phenomenon. However, the rise of social media has led to easy access to free retouching applications and beautifying camera filters. The beauty ideals are maintained in today's society through camera filters' allusion to female beauty ideals. Young women can easily transform their appearance to fit within societal norms. Due to this, the study aims to investigate young women’s experiences of image manipulation tools. The study also aims to analyze whether image manipulation is important for young women's self-image and whether self-presentation on social media is adapted to the expectations of the individuals in the environment. The results of this qualitative study are based on six semi-structured interviews with women between the ages of 18 - 25, who continuously use image manipulation tools on social media. Furthermore, the study's theoretical framework is based on Goffman's dramaturgical perspective, Hirdman's gender system and West and Zimmerman's concepts of 'doing gender'. The results of this study clearly illustrate an ambivalence in young women's reasoning concerning camera filters and retouching. On the one hand, a positive attitude to the possibility of changing one's appearance is emphasized. On the other hand, negative consequences and their damage are clarified. Consequently, a prominent conclusion is that image manipulation tools have an impact on young women's self-image, which results in a normalized approach to beauty procedures. The results also show that individuals in the environment are important for female self-presentation on social media. Preparation of self-portraits and feedback in terms of likes and comments is an important part of self-presentation.
Reklam- och modebranschen har sedan länge bidragit till utseendefixering bland unga kvinnor och retuschering är därmed inget nytt fenomen. Framväxten av sociala medier har dock skapat en lättillgänglighet av retuscherande gratis-applikationer och förskönande kamerafilter. Detta har medfört att utseendenormer upprätthålls genom kamerafilters anspelan på kvinnligt skönhetsideal. Unga kvinnor kan genom endast en knapptryckning förvandla utseendet för att passa in i samhällsnormerna. Syftet med studien är därmed att få en djupare förståelse för unga kvinnors upplevelser av bildmanipulationsverktyg. Studien syftar även till att undersöka om bildmanipulation har betydelse för unga kvinnors självbild och om självpresentationen på sociala medier anpassas efter omgivningens förväntningar. Resultatet av den kvalitativa studien baseras på sex semistrukturerade intervjuer med kvinnor i åldrarna 18 till 25 år, som kontinuerligt använder bildmanipulationsverktyg på sociala medier. Vidare utgår studiens teoretiska ramverk från Goffmans dramaturgiska perspektiv, Hirdmans genussystem samt West och Zimmermans begrepp “doing gender”. Studiens resultat betonar en ambivalens i unga kvinnors resonemang om kamerafilter och retuschering. Å ena sidan poängteras en positiv inställning till möjligheten att förändra det egna utseendet. Å andra sidan tydliggörs negativa konsekvenser och dess skada. Ytterligare en framträdande slutsats är att bildmanipulationsverktyg har betydelse för unga kvinnors självbild, vilket i sin tur innebär ett normaliserat förhållningssätt till skönhetsingrepp. Resultatet belyser ytterligare att individer i omgivningen har en avgörande betydelse för unga kvinnors självpresentation på sociala medier. Förberedelser av självporträtt och feedback i form av likes och kommentarer utgör en viktig del av självpresentationen.

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DePalma, Julia E. „The Filter: Social Media and Their Effects on Human Interaction“. Kent State University Honors College / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1525694435239416.

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Estrada, Camilo Ernesto Restrepo. „Use of social media data in flood monitoring“. Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18138/tde-19032019-143847/.

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Floods are one of the most devastating types of worldwide disasters in terms of human, economic, and social losses. If authoritative data is scarce, or unavailable for some periods, other sources of information are required to improve streamflow estimation and early flood warnings. Georeferenced social media messages are increasingly being regarded as an alternative source of information for coping with flood risks. However, existing studies have mostly concentrated on the links between geo-social media activity and flooded areas. This thesis aims to show a novel methodology that shows a way to close the research gap regarding the use of social networks as a proxy for precipitation-runoff and flood forecast estimates. To address this, it is proposed to use a transformation function that creates a proxy variable for rainfall by analysing messages from geo-social media and precipitation measurements from authoritative sources, which are then incorporated into a hydrological model for the flow estimation. Then the proxy and authoritative rainfall data are merged to be used in a data assimilation scheme using the Ensemble Kalman Filter (EnKF). It is found that the combined use of authoritative rainfall values with the social media proxy variable as input to the Probability Distributed Model (PDM), improves flow simulations for flood monitoring. In addition, it is found that when these models are made under a scheme of fusion-assimilation of data, the results improve even more, becoming a tool that can help in the monitoring of \"ungauged\" or \"poorly gauged\" catchments. The main contribution of this thesis is the creation of a completely original source of rain monitoring, which had not been explored in the literature in a quantitative way. It also shows how the joint use of this source and data assimilation methodologies aid to detect flood events.
As inundações são um dos tipos mais devastadores de desastres em todo o mundo em termos de perdas humanas, econômicas e sociais. Se os dados oficiais forem escassos ou indisponíveis por alguns períodos, outras fontes de informação são necessárias para melhorar a estimativa de vazões e antecipar avisos de inundação. Esta tese tem como objetivo mostrar uma metodologia que mostra uma maneira de fechar a lacuna de pesquisa em relação ao uso de redes sociais como uma proxy para as estimativas de precipitação e escoamento. Para resolver isso, propõe-se usar uma função de transformação que cria uma variável proxy para a precipitação, analisando mensagens de medições geo-sociais e precipitação de fontes oficiais, que são incorporadas em um modelo hidrológico para a estimativa de fluxo. Em seguida, os dados de proxy e precipitação oficial são fusionados para serem usados em um esquema de assimilação de dados usando o Ensemble Kalman Filter (EnKF). Descobriu-se que o uso combinado de valores oficiais de precipitação com a variável proxy das mídias sociais como entrada para o modelo distribuído de probabilidade (Probability Distributed Model - PDM) melhora as simulações de fluxo para o monitoramento de inundações. A principal contribuição desta tese é a criação de uma fonte completamente original de monitoramento de chuva, que não havia sido explorada na literatura de forma quantitativa.

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Robertsson, Filip. „Facebook as News Medium: A Qualitative Study on Reliability in Social Media“. Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20193.

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Sociala medier blir en allt viktigare nyhetskanal för unga vuxna. Denna utveckling har gjort att medieforskare ifrågasätter huruvida sociala medier är kapabla att utbilda och informera på samma sätt som de fysiska formaten gjort med tidigare generationer. Vissa har funnit att möjligheten att filtrera nyhetsflödet innebär en risk att användaren försätter sig i en filterbubbla där endast åsikter och tankar som stämmer överens med deras egna kommer igenom. Andra menar istället att sociala medier ger ett rikare utbud med större variation. Klart står att journalistens roll som grindvakt för vad som publiceras blir mindre viktig och att vem som helst numera kan yttra sina åsikter och potentiellt nå ut till en stor massa med dessa. Denna studie undersöker och ger insikter om hur unga vuxna sållar i sitt Facebookflöde, hur de definierar tillförlitlighet i nyhetsmedia och hur de utifrån detta avgör vad som är tillförlitligt och inte i sitt flöde. Studien består av kvalitativa intervjuer och ett observationsexperiment där respondenterna får scrolla igenom ett fiktivt Facebookflöde. Resultaten visar att bedömningen som görs ofta är medveten och går mycket snabbt, samt att det är få inlägg som anses leva upp till deras definition av tillförlitliga. Även om Facebook visar sig vara en vanlig nyhetskälla är det få av respondenterna som anser den vara bra och tillförlitlig.
Social media is becoming a more and more important news medium for young adults. This development has lead media researchers to question whether social media is as capable of educating and informing these young adults as the legacy media did the generations before them. Some argue that social media, with its ability to filter the news feed, might place users in a filter bubble lacking any challenging views. Others argue that social media encourages a diverse news and information feed. What's clear is that the role of the journalist as gatekeeper has diminished, and that anyone is now able to voice their opinions to a big audience. This study investigates how young adults sift through their Facebook feed, how they define reliability in news media, and how they assess their social news feed based on this. The study consists of qualitative interviews and an observational experiment where the respondents scrolled through a fictive Facebook feed. The results show that the assessment made is often very quick and deliberate, and that few news posts live up their definition of reliable, namely objective and transparent. Although Facebook is a common news source, few consider it to be a good and reliable one.

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Söderberg, Britta. „Inside the echo chamber : A qualitative study on anti-immigration internet media, political polarization and social trust in a fragmented digital landscape“. Thesis, Södertörns högskola, Medie- och kommunikationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-31828.

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“Filter bubble” became one of the most topical words of 2016 and it was even included in the Swedish Language Council's list of new Swedish words that was presented at the end of the year. Referring to algorithmically adapted media bubbles, this phenomenon has particularly been discussed in relation to the UK Brexit referendum and the US election as scholars and journalist argue that the phenomenon, in combination with a fragmented media usage, contribute to a political polarization where each side of the political spectrum is encapsulated in “echo chambers” where opinions and beliefs are repeated like an echo rather than contested and challenged. In a Swedish context, filter bubbles and echo chambers have mainly been discussed in relation to anti-immigration internet media (AIIM), such as Avpixlat, Fria Tider and Exponerat, as these, through their critique of established journalistic media's (EJM) reporting, appear to constitute one side of a polarized debate around immigration. Through online interviews with 13 users of AIIM, this thesis is aimed at understanding why people consume such media and if the consumers are affected by echo chambers. Drawing on theories on online echo chambers and radical media critique, the study's findings suggest that even though the respondents’ appear to thrive on a siege mentality where anti-immigration groups are excluded sub-groups with AIIM as their only solution, the respondents' consumption of AIIM (and critique of EJM) is more likely to be based on a combination of a low level of trust in society and strong political (right-wing) beliefs. Furthermore, the study shows that the respondents are likely to be affected by both fragmentation and filter bubbles, but that they are not completely isolated in an anti-immigration media bubbles as they also rely on EJM's reporting in several ways.

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Conzo, Naomi. „Privacy e "Social dilemma": aspetti etico-informatici legati al trattamento online dei dati personali sui social media“. Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il fine di questo elaborato di tesi è analizzare per quali scopi e secondo quali metodologie le piattaforme online di Social Media trattano i nostri dati online. L'analisi sarà incentrata in primo luogo in luce delle regolamentazioni vigenti, quali tipi e come tutelano i dati in ambito privacy; seguirà un approfondimento delle informative sui dati (privacy policy) di alcuni importanti Social dal quale verranno estrapolati e riconosciuti concetti come la profilazione. Lo studio di che cosa è la profilazione avrà come scopo l'introduzioni di questioni molto importanti riguardo i sistemi utilizzati per profilare - sistemi che sono nel modo più assoluto automatizzati, composti da algoritmi sviluppati sulla base di "deep learning" e "machine learning" in modo da non richiedere l'intervento umano - le conseguenze sul piano etico-sociale e i problemi di sicurezza informatica che me derivano. Nella parte finale, in particolare, verrà fatto notare come l'atto dell'invio di contenuti personalizzati non sia stato seriamente considerato e come il GDPR tratta questa situazione.

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Rattay, Sonja. „Profiling Algorithms and Content Targeting - An Exploration of the Filter Bubble Phenomenon“. Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22561.

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Bücher zum Thema "Social media filters"

No filter. New York: Bloomsbury Publishing, 2018.

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#Goals: Life Behind the Instagram Filter. Quadrille Publishing, Limited, 2018.

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Collins, Orlagh. No Filter. Bloomsbury Publishing Plc, 2020.

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No filter. 2017.

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Maeseele, Pieter, und Yves Pepermans. Ideology in Climate Change Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.578.

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The idea of climate change inspires and reinforces disagreements at all levels of society. Climate change’s integration into public life suggests that there is no evident way of framing and tackling the phenomenon. This brings forward important questions regarding the role of ideology in mediated public discourse on climate change. The existing research literature shows that five ideological filters need to be taken into account to understand the myriad ways in which ideology plays a role in the production, representation, and reception of climate change in (news and entertainment) media: (i) economic factors, (ii) journalistic norms, (iii) political context, (iv) ideological cultures, and (v) citizen decoding. Furthermore, two different interpretations of how ideology precisely serves as a filter of social reality underlie this literature: an interpretation of ideology as an independent variable, on the one hand, and as a constitutive practice, on the other. Moreover, these interpretations underlie a broader discussion in the social sciences on the relation between climate change and ideology and how scholars and activists should deal with it. By considering climate change as a post-ideological issue, a first perspective problematizes the politicization of climate change and calls for its depoliticization to foster consensus and public engagement. In response, a second perspective takes aim against the post-politicization and post-democratization of climate change (resulting from the adoption of the first perspective) for suppressing the role of ideology and, as a result, for stifling democratic debate and citizenship with regard to the climate issue. This latter perspective is in need of further exploration in future research, especially with regard to the concepts of ideological fault lines, ideological hegemony, and ideological strategies.

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Lane, Jeffrey. Street Lessons. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199381265.003.0006.

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This final chapter returns to the core argument given the fieldwork presented. It is made clear from the case of the digital street that the experience of an urban neighborhood gets filtered through social media. The chapter reviews the transformation of street life in Harlem during the study period based on the different ways that youth, adults, police, and other neighborhood actors used the digital street in relation to each other. The author remarks on the localization of the Internet from the fact that online space enabled residents to rework and control matters in neighborhood space. The chapter ends with key lessons for a service-oriented approach to youth on the street that utilizes the increased visibility and productive aspects of social media use.

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Micle, Maria, und Gheorghe Clitan, Hrsg. Innovative Instruments for Community Development in Communication and Education. Trivent Publishing, 2021. http://dx.doi.org/10.22618/tp.pcms.20216.

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The multiple facets of this volume belong to five large themes. The first theme, that of persuasion and manipulation, is studied here through electoral campaigns (i.e., mental filters used in voting manipulation, the mechanisms of vote mobilisation, manipulation and storytelling models). The institutionalization of education represents the second theme, approached here through specific interdisciplinary instruments: the intersection of higher education with public learning, the answers of the knowledge society to the issues of contemporary work problems, the institutional relationships used to solve educational problems specific to childhood and adolescence, as well as the role of media competencies in professional development. The third theme is related to the inheritance and transmission of cultural identity, instrumentalized through issues such as: the duty of intergenerational justice with regard to cultural heritage, education and vocational training in library science, the social inclusion role of public and digital libraries. The collective and cultural identity of communities represents the fourth large theme, being approached through a triple perspective: the philosophical background of restoring the political dignity of communities, the communication space as a point of a needle towards the community space, and the communicational issue of the European capital of culture programmes. Lastly, the fifth theme belongs to practical and applied philosophy, specifically philosophical counselling, debating issues such as: the identification of the communicational background for this type of counselling, the secular approach to the problem of evil from a philosophical counselling perspective, the discussion of Platon’s attitude towards suicide and of frank speech in the Epicurean school, the socio-anthropological perspective of immortality, as well as the formal approach of the relationship between real and imaginary.

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Lane, Jeffrey. The Digital Street. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199381265.001.0001.

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This book delves into the street-level experience of a set of African American and Latino teenagers and adults worried about or after them. It argues that the risks and opportunities associated with a poor urban neighborhood get filtered through smartphones and popular social media sites like Twitter and Facebook. The book shows that street life in Harlem plays out on and across the physical street and the digital street among youth, neighborhood adults, and the authorities. Each chapter examines the parallels, differences, and crossovers between these two layers of social life that bear out the “effects” of a neighborhood. From roughly five years of firsthand research as an outreach worker and in other roles in the community, the author illustrates the online and offline experiences of girls and boys of color coming of age in the shadow of the Harlem Children’s Zone and sweeping gentrification when social media came to permeate all aspects of life. The Digital Street addresses the role of communication and technology in the transformation of an urban neighborhood.

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Bedford-Strohm, Jonas, Florian Höhne und Julian Zeyher-Quattlender, Hrsg. Digitaler Strukturwandel der Öffentlichkeit. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845291802.

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Widely discussed phenomena like ‘filter bubbles’ and ‘social bots’ point to the reality that the digital transformations of the present also encompass public communication. New opportunities for information and participation have arisen and opinion formation is changing. This volume explores these transformations from an ethical perspective and discusses theoretical work in theology, media ethics and political science in combination with digital practice. It evaluates the potential knowledge arising from various concepts and functions in the ‘public sphere’ under the conditions of digital societies, and discusses in a nuanced way both the dangers to democracy and the opportunities for civic participation and bottom-up processes as a result of digital transformation. Venturing beyond institutional politics, this volume explores the digital transformation of the political and its consequences for churches, protest movements and media outlets. Hence, the contributions it contains are not only relevant for academics working on digital transformation, but also journalists, politicians and employees at NGOs and in churches. With contributions by Sigrid Baringhorst, Christina Schachtner, Florian Stickel, Julian Zeyher-Quattlender, Gary Schaal, Ilona Nord, Christoph Bieber, Jonas Bedford-Strohm, Alexander Filipovic, Alexander Görlach, Torsten Meireis, Frederike van Oorschot, Thomas Renkert.

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Goodin, Robert E., und Kai Spiekermann. Epilogue. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198823452.003.0021.

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This chapter reflects on the election of Donald Trump and the vote of the British electorate in favour of ‘Brexit’ from the European Union. While we refrain from judging the outcomes of these votes, we do discuss concerns pertaining to the lack of truthfulness in both campaigns. After rehearsing the lies on which the Trump and Brexit campaigns were based, we consider different explanations as to why these campaigns were nevertheless successful, and where this leaves the argument for epistemic democracy. Particularly worrisome are tendencies towards ‘epistemic insouciance’, ‘epistemic malevolence’, and ‘epistemic agnosticism’. We also consider the problematic influence of social media in terms of echo chambers and filter bubbles. The core argument in favour of epistemic democracy is that the pooling of votes by majority rule has epistemically beneficial properties, assuming certain conditions. If these assumptions are not met, or are systematically corrupted, then epistemic democracy is under threat.

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Buchteile zum Thema "Social media filters"

Flavián, Carlos, Sergio Ibáñez-Sánchez und Carlos Orús. „User Responses Towards Augmented Reality Face Filters: Implications for Social Media and Brands“. In Augmented Reality and Virtual Reality, 29–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68086-2_3.

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Welbers, Kasper, und Michaël Opgenhaffen. „Chapter 4. News through a social media filter“. In Benjamins Translation Library, 85–105. Amsterdam: John Benjamins Publishing Company, 2019. http://dx.doi.org/10.1075/btl.146.04wel.

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Belavadi, Poornima, Laura Burbach, Patrick Halbach, Johannes Nakayama, Nils Plettenberg, Martina Ziefle und André Calero Valdez. „Filter Bubbles and Content Diversity? An Agent-Based Modeling Approach“. In Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 215–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49570-1_15.

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Plettenberg, Nils, Johannes Nakayama, Poornima Belavadi, Patrick Halbach, Laura Burbach, André Calero Valdez und Martina Ziefle. „User Behavior and Awareness of Filter Bubbles in Social Media“. In Lecture Notes in Computer Science, 81–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49907-5_6.

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Luong, Thai-Le, Thi-Hanh Tran, Quoc-Tuan Truong, Thi-Minh-Ngoc Truong, Thi-Thu Phi und Xuan-Hieu Phan. „Learning to Filter User Explicit Intents in Online Vietnamese Social Media Texts“. In Intelligent Information and Database Systems, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49390-8_2.

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Klug, Katharina, und Charlotte Strang. „The Filter Bubble in Social Media Communication: How Users Evaluate Personalized Information in the Facebook Newsfeed“. In Media Trust in a Digital World, 159–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30774-5_12.

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Diaz-Garcia, Jose A., M. Dolores Ruiz und Maria J. Martin-Bautista. „A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter“. In Flexible Query Answering Systems, 196–208. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86967-0_15.

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Babu, K. Ratna, und K. V. N. Sunitha. „Image De-noising and Enhancement for Salt and Pepper Noise Using Improved Median Filter-Morphological Operations“. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 7–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35615-5_2.

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Reviglio, Urbano. „Serendipity by Design? How to Turn from Diversity Exposure to Diversity Experience to Face Filter Bubbles in Social Media“. In Internet Science, 281–300. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70284-1_22.

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Coretti, Lorenzo, und Daniele Pica. „Facebook’s communication protocols, algorithmic filters, and protest“. In Social Media Materialities and Protest, 72–85. Routledge, 2018. http://dx.doi.org/10.4324/9781315107066-6.

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Konferenzberichte zum Thema "Social media filters"

Hargreaves, Eduardo Martins, und Daniel Sadoc Menasché. „Filters for Social Media Timelines: Models, Biases, Fairness and Implications“. In XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sbrc_estendido.2020.12414.

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Social media have a significant impact, on the lifestyle, behaviour and opinion of billions of users. To handle the flow of information between its members, social media developed personalization algorithms that filter the contents that flow into users' timelines. Despite the far-reach of social media filters, such algorithms lack transparency, motivating research to understand and improve its properties. In this thesis, bridging queuing theory, caching models and network utility maximization, we propose a reproducible methodology encompassing measurements, analytical models and a utility-based method to design timelines filters. Using Facebook as a case study, our empirical results indicate that a significant bias exists and it is stronger at the topmost position of News Feed motivating the proposal of a novel and transparent fairness-based timeline design which can be controlled by users. Among the implications, we indicate the accuracy of our model to make counterfactual analysis, the capability of auditing social media and its versatility in designing multiple filters accounting for users preferences in an open and transparent way.

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Fink, Christoph, Tuomo Hiippala, Henrikki Tenkanen, Matthew A. Zook und Enrico Di Minin. „Uncovering Illegal Wildlife Trade on Social Media: Automatic Data Collection, Deep Learning Filters and Identification“. In 5th European Congress of Conservation Biology. Jyväskylä: Jyvaskyla University Open Science Centre, 2018. http://dx.doi.org/10.17011/conference/eccb2018/107986.

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Syndoukas, Dimitris. „A Comparison of Spatio-temporal Filters for Color Video Denoising“. In 2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 2020. http://dx.doi.org/10.1109/seeda-cecnsm49515.2020.9221793.

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Nakov, Preslav, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar und Giovanni Da San Martino. „Automated Fact-Checking for Assisting Human Fact-Checkers“. In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/619.

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The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians and other key players enjoy direct access to their audiences through social media, bypassing the filters of official cables or traditional media. However, the multiple advantages of free speech and direct communication are dimmed by the misuse of media to spread inaccurate or misleading claims. These phenomena have led to the modern incarnation of the fact-checker --- a professional whose main aim is to examine claims using available evidence and to assess their veracity. Here, we survey the available intelligent technologies that can support the human expert in the different steps of her fact-checking endeavor. These include identifying claims worth fact-checking, detecting relevant previously fact-checked claims, retrieving relevant evidence to fact-check a claim, and actually verifying a claim. In each case, we pay attention to the challenges and the potential impact on real-world fact-checking.

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Chen, Yu-Hsiu, Ting-Hsuan Chao, Sheng-Yi Bai, Yen-Liang Lin, Wen-Chin Chen und Winston H. Hsu. „Filter-Invariant Image Classification on Social Media Photos“. In MM '15: ACM Multimedia Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2733373.2806348.

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Nagulendra, Sayooran, und Julita Vassileva. „Understanding and controlling the filter bubble through interactive visualization“. In HT '14: 25th ACM Conference on Hypertext and Social Media. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2631775.2631811.

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Linder, Rhema, Alexandria M. Stacy, Nic Lupfer, Andruid Kerne und Eric D. Ragan. „Pop the Feed Filter Bubble: Making Reddit Social Media a VR Cityscape“. In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2018. http://dx.doi.org/10.1109/vr.2018.8446271.

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Le, Thanh-Sach, und Trung-Hieu Luu. „A fast temporal median filter and its applications for background estimation in video surveillance“. In 2013 International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2013. http://dx.doi.org/10.1109/socpar.2013.7054097.

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Bustamante, Juan, Leonardo Kuffo, Edgar Izquierdo und Carmen Vaca. „Automated Detection of Customer Experience through Social Platforms“. In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8347.

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The emergence and acceptance of social media have become a crucial aspect of daily lives in the worldwide population. As a result of this phenomenon, it is not surprising that customers’ buying patterns exhibit continuous change. For capturing the experience of consumers during their visit to a retail store, previous studies have proposed in-store customer experience (ISCX) scale from data captured through traditional methods like survey research. Accordingly, ISCX is conceived as a subjective internal response to and interaction with the physical retail environment. The present study builds upon prior research and we take the concept of ISCX with the purpose of developing an automated model for capturing ISCX from data collected through a social network like Facebook. This approach offers a low-cost, real-time alternative to traditional elicitation methods. We gathered data from English written contents by Facebook users and collected approximately 1,6 million comments made in public sites belonging to 50 companies worldwide (e.g. Clothing and jewelry retailers, whole Box and electronics Stores), including IKEA, Samsung, Whole Foods, Walmart, Tiffany, Victoria Secret, and Dillards. Five reviewers manually checked the messages filtered by the automated model, resulting in a high accuracy, confirming the high effectiveness of the model in classifying Facebook written messages. Keywords: Customer Experience; Machine Learning; Data Classification; Text Mining.

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Fast, Ethan, Binbin Chen und Michael S. Bernstein. „Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis“. In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/677.

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Human language is colored by a broad range of topics, but existing text analysis tools only focus on a small number of them. We present Empath, a tool that can generate and validate new lexical categories on demand from a small set of seed terms (like "bleed" and "punch" to generate the category violence). Empath draws connotations between words and phrases by learning a neural embedding across billions of words on the web. Given a small set of seed words that characterize a category, Empath uses its neural embedding to discover new related terms, then validates the category with a crowd-powered filter. Empath also analyzes text across 200 built-in, pre-validated categories we have generated such as neglect, government, and social media. We show that Empath's data-driven, human validated categories are highly correlated (r=0.906) with similar categories in LIWC.

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