Relevant bibliographies by topics / Sociala media filter

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Sociala media filter'

Author: Grafiati
Published: 25 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Sociala media filter"

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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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Dissertations / Theses on the topic "Sociala media filter"

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Arntzen, Svensson Lena, and Sofia Karlsson. "Användare & filter : En studie om filterfunktioner på fotoapplikationer." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-21601.

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Genom århundraden har bilden varit en viktig del i vårt samhälle. Den har varit en källa till underhållning, sparande av minnen och även ett sätt att kommunicera på. Bilder har använts på många olika sätt och sedan 1800-talet har vi kunnat fånga bilder genom fotografier. Med den teknik vi har i dag, kan bilder tas och delas via mobiltelefonen och på grund av detta har fotodelning ökat snabbt. Inte bara genom att vi nu har ett urval av olika fotodelningsapplikationer, utan de erbjuder även verktyg för att retuschera bilder innan de delas vidare med fördefinierade filter för enkel redigering. Vi var därför intresserade av hur dessa verktyg påverkat vårt sätt att retuschera bilder. Med det menar vi om möjligheten att använda filter förändrat hur vi tänker om retuschering och om detta spelat roll i vårt sätt att dela bilder. Resultat från enkät och intervjustudierna har visat att majoriteten av de foton som delas går genom någon form av retuschering. Vare sig det är genom fördefinierade filter eller om de redigeras manuellt finns det mycket få användare av fotodelningsapplikationer som delar oredigerade bilder. Vidare har det visat sig, som en effekt av filterfunktionen, att fler människor introduceras för konsten att redigera.
Through centuries the picture has been an important element in our community. It’s been a source to entertainment, memory sharing and also a way of communication. Pictures have been used in many ways and since the 19th century we have been able to capture pictures on photos. With the technology we have today, pictures can be taken and shared via the cellphone and because of this the photo-sharing have increased rapidly. Not only do we now have a selection of different photo-sharing networks they also offer tools to retouch the photos before sharing with predefined filters for easy editing. We were therefore interested in how these tools influence the way we retouch our photos. By that we mean if the opportunity to use filter affect how we think about retouching and if this affect the way we share our photos. By questionnaire and interview study, the result showed us that the majority of the photos that are being shared are going through some kind of retouches. Whether it is by predefined filters or if they are manually edited there are very few users of photo-sharing networks who shares unedited photos. Further it has merged that because of the filter function, more people are being introduced to the art of editing.
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Cosic, Kristina, and 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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Nordholm, Miranda. "Instagrams filter - Jakten efter den perfekta bilden : En studie om hur redigering av en bild kan påverka attityd till ett motiv." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Datateknik och informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-41054.

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Purpose – The purpose of the thesis is to investigate whether there is any editing combination in the form of different filters published in the Instagram app, which is noticeably different from each other in the form of negative or positive response. Method – In order to obtain answers to the question, the study has sought to anchor as many theories as possible in scientific, published material. The method of ”small-N-study” in this study will be applied when collecting information about the different filters that the Instagram app allows the user to choose from. A quantitative survey is conducted in an attempt to obtain statistics on how the filters can be ranked from most popular to least popular. To further validate the answers to the questionnaire and to answer the questions 1.1 and 1.2 in the thesis, three interviews are conducted. The aim is to achieve more qualitative answers to the questions and then to compare and analyze the results of the survey. Findings – This study has found that a combination of: moderately colorful, normal contrast, medium opacity, neutral color tone, blue color and medium brightness are good variables to create good a filter. Highly matte and colorless colors, very low contrast, black and white (neutral colors), cool color tones, high brightness and high opacity of the filter are qualities for a filter that gets a lot of negative response. The most popular filter of all 23 in the Instagram app is Clarendon, while the filter with the most negative response is Hefe. Implications – A risk of working deductively may be that theories that already exist on the subject and from which the researcher assumes will target the results of the study. When conducting a ”small-N-study” there is a risk that the variables being analyzed are too few to answer the question at issue.  When conducting a survey, there is always the risk that the questions are too leading, that the test person does not understand, misinterprets or fails to engage in the subject to answer the questionnaire truthfully. When conducting an interview, there is a risk that the interviewees are insufficiently aware of the issues that they can not answer in detail or honestly on the questions.  Limitations – The study is limited to the resources available in time. The subjects who participated in interviews and questionnaires are limited to those the writer could reach out to. Just like the theory found on the subject is limited by the ability of the author to search and review information, as well as language skills and the data published in library and database. The results of the study are limited to the funds used for the objects examined.  Keywords – Color theory, Social Media, Instagram, Filter, Image Editing
Syfte – Syftet med examensarbetet är att undersöka om det finns någon redigeringskombination i form av olika filter som är utgivna i Instagramappen som märkbart står ut jämfört med de andra i form av någon typ av positiv eller negativ respons. Metod –  För att uppnå svar på frågeställningen har studien eftersträvat att kunna förankra så många teorier som möjligt i vetenskapligt material. Metoden ”små-N-studie” kommer i denna studie att tillämpas vid insamlandet av information kring de olika filter som Instagram-appen tillåter användaren att välja mellan. En kvantitativ enkätundersökning genomförs i ett försök att få fram en statistik på hur filterna kan rangordnas från mest populär till minst populär. För att ytterligare validera svaren på enkätundersökningen och få fram svar på delfrågorna 1.1 och 1.2 genomförs tre intervjuer. Intervjuerna genomförs för att kunna ge en djupare insikt och mer svarsutrymme för intervjupersonerna. Resultat – Denna studie har kommit fram till att en kombination av: måttligt färgstark, normal kontrast, medel opacitet, neutral färgton, blå färg och medel ljusstyrka är bra variabler för att skapa ett bra filter. Mycket matta och svaga färger, mycket låg kontrast, svart-vitt (neutrala färger), kalla färgtoner, ljust ljushetsstyrka och hög opacitet på filtret är kvalitéer för ett filter som får  mycket negativ respons.  Det populäraste filtret av alla 23 i Instagramappen är Clarendon, medan det filter med mest negativ respons är Hefe. Implikationer – En risk med att arbeta deduktivt kan vara att de befintliga teorier som redan finns kring ämnet och som forskaren utgår ifrån kommer att rikta studiens resultat. Vid tillämpandet av metoden ”små-N-studie” finns risken att det är svårt att vara tillräckligt nyanserad i insamlandet av variabler och att studien därmed inte blir tillräckligt omfattande för att besvara frågeställningarna.  Vid genomförandet av enkätundersökning finns alltid risken att frågorna är för ledande, inte tillräckligt ingående, att testpersonen inte förstår, tolkar på fel sätt eller inte orkar sätta sig in i ämnet för att svara tillräckligt sanningsenligt på enkäten. Vid genomförande av intervju finns risken att intervjupersonerna inte är tillräckligt insatta i ämnet, att de inte kan svara utförligt eller ärligt på frågorna.  Begränsningar – Studien är begränsad till de resurser som finns tillgängliga i mån av tid. De försökspersoner som deltagit i intervjuer och enkätundersökning är begränsade till de dem författaren kunnat nå ut till precis som den teori som finns hittad om ämnet är begränsad efter den förmåga författaren har att söka och sålla igenom information, samt språkkunnighet och den data som finns publicerad på bibliotek och databaser. Studiens resultat är begränsad till de medel som använts för de objekt som undersökts.  Nyckelord – Färglära, Sociala medier, Instagram, Filter, Bildredigering
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Högberg, Jonathan, Peter Kilic, and Philip Larsson. "Filterbubblor eller: Hur jag slutade ängslas och lärde mig att älska mitt flöde : En kvalitativ studie om unga människors förhållningssätt till filterbubblor." Thesis, Högskolan i Gävle, Media- och kommunikationsvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27046.

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Filterbubblor är för många fortfarande en relativt okänd process som ändå pågåroavbrutet när vi använder exempelvis sociala medier. Uppsatsen söker att undersökaunga människors vanor på sociala medier, om de känner att de begränsas, deras kunskapi ämnet filterbubblor och dess kopplingar till begränsningar genom personalisering, ochdemokrati. Uppsatsens urvalsgrupp är män och kvinnor mellan 18 och 28 år. Genom 15enskilda intervjuer i kombination med kvalitativ textanalys har vi kommit fram till attanvändarna känner att de begränsas av sociala medier och att det anses vara ett problem.Många användare ansåg också att filterbubblor skulle kunna vara ett hot mot demokrati.Dessutom har vi kommit fram till att kunskapen om filterbubblor bland respondenternaär bristande, om än inte obefintlig. De är däremot överlag mindre intresserade av attändra sina vanor för att motarbeta digital isolering och polarisering, även om deerkänner att förändrade vanor hade gynnat dem. Konsekvenserna av fortsattbegränsning är att vi kommer att glida ifrån varandra än mer. Det kommer att leda tillett mer hätskt politiskt klimat och mer oförståelse för sådant och sådana som ärannorlunda än oss själva.
The making of filter bubbles occurs every time we use social media, although for a lotof people it's still a relatively unknown process. This paper analyzes young people'shabits on social media, if they feel restricted, their knowledge about filter bubbles andtheir connections to restrictions through personalization, and democracy. In this paperwe have sampled men and women between the ages of 18 and 28. After conducting 15individual interviews, we've come to the conclusion that young users feel restricted onsocial media and that they think it could be a problem. Many users considered filterbubbles to be a possible threat to democracy. We've also found that the knowledgeabout filter bubbles among the interviewees is lacking, though not non-existent. Despitethese findings, users are not very interested in changing their habits to combat digitalisolation and polarization, even though many admitted that it would be beneficial tothem. The consequences of continuing restriction is both isolation and polarization. Thiscould lead to a more rancorous political climate and a diminishing tolerance of thingsand people who are different from us.
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Sobrino, Rada Gilma Sobrino, and 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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Blomqvist, Marcus, and Pontus Rolling. "Designförslag för hur design för serendipity kan användas för att främja exponeringsvariation i sociala mediers informationsflöden." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43383.

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Serendipity innebär ett överraskande, lyckligt utfall som introducerar en ny upptäckt av värde för användaren. Till skillnad från dagens algoritmer, som ofta enbart ger rekommendationer baserat på relevans, innefattar design för serendipity fler komponenter för att göra innehåll på sociala medier intressant för användaren. Serendipity beskrivs därför i flera studier som ett lovande sätt för att öka chansen att användare tar del av innehållet. I dagens sociala medier introduceras allt kraftfullare algoritmer för att personalisera innehåll. Detta kan medföra att användaren inte ser tillräckligt varierad information, och riskerar att få en dålig förståelse om varierande åsikter. För att förebygga detta ämnar studien undersöka hur design för serendipity kan användas för att öka användares bredd av exponering av innehåll, även kallat exponeringsvariation. Baserat på den identifierade litteraturen gällande serendipity formulerades tre designförslag, vilka sedan designades in i en prototyp. Designförslagen berör behovet av ett varierat innehåll genom användningen av existerande sociala kontaktnät som kan användas för att uppnå detta, behovet av ett upplevt värde för användaren och användarens behov av kontroll. Då tidigare studier gällande serendipity har identifierat en brist på utvärderingar med användare skapades en prototyp över ett alternativt informationsflöde på Facebook. Informationsflödet har konstruerats i syfte att exponera användarna för nytt och oväntat innehåll och skapa förutsättningarna för att serendipity ska uppstå. Informationsflödet har sedan utvärderats med användare och visar att de upplevt variationen som positiv samt en känsla av kontroll kopplat till större valfrihet. Användningen av designförslagen har således visat hur de kan främja användares exponeringsvariation och även möjliggör för serendipity att inträffa.
Serendipity means a surprising, happy outcome that introduces a new discovery of value for the user. Unlike today's algorithms, which often only provide recommendations based on relevance, serendipity design includes more components to make social media content interesting to the user. Serendipity is therefore described in several studies as a promising way to increase the chance that users take part in the content. Today's social media introduces increasingly powerful algorithms for personalizing content. This can result in users not seeing sufficiently diverse information, and a risk of gaining a poor understanding of varying opinions. To prevent this, we intend to investigate how design for serendipity can be used to increase users' breadth of content exposure, also called diversity exposure. Based on the identified literature regarding serendipity, three design proposals were formulated, which were then designed into a prototype. The design proposals concern the need for a diverse content through the use of the users existing social networking contacts that can be used to achieve this, the need for a perceived value for the user and the user's need for control. As previous studies regarding serendipity have identified a lack of evaluations with users, a prototype was created of an alternative information feed on Facebook. The feed has been designed with the aim of exposing users to novel and unexpected content and creating the conditions for serendipity to arise. The information feed has since been evaluated with users and shows that they have experienced the variation as positive and a sense of control linked to greater freedom of choice. The use of the design proposals has thus shown how they can promote users' diversity exposure and also enable serendipity to occur.
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Skepetzis, Vasilios, and 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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Johansson, Michael. "Deltagarkultur i en filterbubbla : En innehållsanalys av nätsamhället Twitch.tv's externa kommunikation." Thesis, Umeå universitet, Institutionen för kultur- och medievetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119216.

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Participatory culture inside a filter bubble – A content analysis of the network society Twitch.tv’s external communication. The aim of this essay was to study how user-generated content is being used and how it is presented by Twitch Interactive, Inc. in its external communication, more specifically how the discourse of this content is shaped on Twitter. To gather the information needed a quantity based content analysis was made, ranging from 1-31st of October 2015. From this data patterns where detected and a discourse analysis based on Berglez version of van Dijks model was conducted on six of the Twitter posts that followed said pattern. This was done to answer how the discourse was shaped and what the consequences could be of using such a pattern. Analyzing the results was done using theory from strategic marketing researchers such as Larsåke Larsson, Lars Palm, Ulf Dahlqvist and Magnus Linde. Furthermore theorist like Gripsrud, Pariser, Lindgren, Jenkins, Ford and Green were used to describe and analyze the field of culture, more specifically participatory and popular culture. The conclusion of the study was that Twitch representation of user-generated material and the culture it represents was unjustified and could be seen as a filter bubble. The results showed that the majority of content was young white male gamers where as other research on the field of gaming culture shows a more equal split between genders. The individuals that where represented in the content could be seen as objects of admiration and association. Discussion led to the belief that Twitch may not possess the power to change to discourse due to the strong economic need of the consumers. This need was concluded to arise from the fact that the platform and its culture is much like participatory culture and where this culture has been taken to a commercial level.
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Hedin, Alice. "”Jag trivs ändå i min lilla bubbla” – En studie om studenters attityder till personalisering." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20583.

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Denna studie ämnar att undersöka studenters attityder till utvecklingen av personalisering inom webbaserade tjänster och utforska skillnader och likheter mellan studenternas attityder. Studiens empiriska material är insamlat genom fem kvalitativa intervjuer och en webbenkät med 72 respondenter. Studien behandlar fördelar och nackdelar med personalisering, möjligheter att förhindra personalisering och möjliga konsekvenser av personalisering. Majoriteten av studenterna har en positiv attityd till personalisering av webbaserade tjänster. Resultatet visar att studenterna var mest positivt inställda till personalisering av streamingtjänster och minst positiva till personalisering av nyhetstjänster. Jag fann att användare i stor utsträckning inte anser att nyhetstjänster bör vara personaliserade. Det visade sig finnas en tydlig skillnad mellan studenternas kännedom om olika verktyg som kan användas för att förhindra personalisering. Ju mer teknisk utbildning som studenterna läser, desto bättre kännedom hade studenterna om verktygen. Resultatet visade även att en stor del av studenterna önskade att de kunde stänga av personaliseringsfunktionen på tjänster. Personalisering har blivit en naturlig del av användarnas vardag och att majoriteten av användarna inte har tillräcklig kunskap om fenomenet och därför intar de en passiv attityd och undviker att reflektera närmare över personaliseringen och dess möjliga konsekvenser.
This essay aims to study student’s attitudes towards web personalization and explore where the student’s attitudes differ and converge. The empirical materials of the study where assembled by the usage of five qualitative interviews and a quantitative survey with 72 respondents. The study discusses the pros and cons, the ability to constrain web personalization and possible effects and outcomes of web personalization. The majority of the students have a positive attitude towards web personalization. The students were most positive towards personalization of streaming services and least positive towards personalization of media channels that output news. There was an explicit difference between the students’ knowledge of the possibilities to constrain web personalization through the usage of different extensions and tools. Those students who studied a more technical program showed more knowledge of extensions and tools that can be used to prevent or constrain web personalization. The results also showed that the over all students desire more control over web personalization and demand a function where the personalization of web services could be turned off. The study resulted in the findings that web personalization has become a part of the users every-day life and that the students do not have enough knowledge of web personalization which have led to a passive attitude towards it.
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Denise, Eriksson, and Thunstedt Erika. "Big Data – data med stor påverkan i det vardagliga livet : En fallstudie kring hur individen påverkas av Big Data i sin vardagliga kommunikation och interaktion på sociala medier." Thesis, Södertörns högskola, Medieteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-34368.

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Today, it has become a natural part of life for many people to share personal information and turn to search engines and social media as they search and seek information on the internet. This study aims to investigate how individuals are affected by Big Data in their interactions with social media and to understand how individuals relate to personalization of Big Data, digital identity, agency and how they share their own personal data. This has been researched through a case study involving qualitative interviews and experiments. The result of the research shows that personalization of Big Data on social media has an impact on individuals in their ever yday lives. The research from this case study shows a certain negative attitude towards personalization on social media and that there is so me awareness of the companies agency on the internet, this does not affect individuals in taking any actions. This leads to the conclusion that personalization is to some extent a desired function.
Idag har det blivit en självklarhet för många att dela med sig av personlig information på internet och vända sig till sökmotorer och sociala medier när de letar och söker information. Studien syftar till att undersöka hur individer påverkas av Big Data i sin interaktion med sociala medier och att förstå hur individer förhåller sig till personalisering av Big data, digital identitet, aktörers makt och hur de tänker kring delning av personlig data. Detta studeras genom en fallstudie där kvalitativa intervjuer och experiment. Resultatet från studien visar att personalisering av Big Data på sociala medier påverkar individer och deras digitala användning i vardagen. Studien visar en viss negativ inställning till personalisering på sociala medier och på viss medvetenhet kring aktörernas makt på internet, detta påverkar inte individerna att göra aktiva handlingar. Detta leder till slutsatsen att personalisering av Big Data i viss mån är en accepterad funktion, även om det innebär en förlorad makt över sin digitala användning.
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Books on the topic "Sociala media filter"

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No filter. New York: Bloomsbury Publishing, 2018.

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AdvancED Flex application development: Building rich media X. Berkeley, Calif: Friends of Ed, 2008.

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Wolf, Naomi. Promiscuities: The secret struggle for womanhood. Toronto: Random House of Canada, 1997.

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Wolf, Naomi. Promiscuities: The secret struggle for womanhood. New York: FawcettBooks/Random House Publishing Group, 1998.

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Wolf, Naomi. Promiscuities: The secret struggle for womanhood. New York: Random House, 1997.

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Wolf, Naomi. Promiscuities: A secret History of female desire. London: Chatto & Windus, 1997.

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Wolf, Naomi. Promiscuities: The secret struggle for womanhood. New York: Random House, 1997.

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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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Book chapters on the topic "Sociala media filter"

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Welbers, Kasper, and 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, and 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, and 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, and 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, and 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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Flavián, Carlos, Sergio Ibáñez-Sánchez, and 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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Diaz-Garcia, Jose A., M. Dolores Ruiz, and 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, and 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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Garibaldi, Gemala. "Analysis of Collaborative Learning in Filmed Role Play on Social Media: A Case of Hospitality Students." In Educational Technology to Improve Quality and Access on a Global Scale, 257–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66227-5_20.

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Conference papers on the topic "Sociala media filter"

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Hargreaves, Eduardo Martins, and 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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Chen, Yu-Hsiu, Ting-Hsuan Chao, Sheng-Yi Bai, Yen-Liang Lin, Wen-Chin Chen, and 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, and 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, and 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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Araujo, Igor, Paulo Henrique Lopes Rettore, and João Guilherme Maia de Menezes. "Participatory Social Sensor: A Framework to Social Media Data Acquisition and Analysis." In XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbrc_estendido.2019.7765.

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Nowadays, understanding urban mobility, transit, people viewpoint, and social behaviors has been the focus of many research and investments. However, data access is restricted to private companies and governments. In addition, the costs to create a sensor infrastructure on a given area is prohibitive. Then, using Location-Based Social Media (LBSM) may provide a new way to better comprehend the social behaviors, by the use of a users viewpoint. In this work, we propose the use of LBSM as participatory sensing, designing the Participatory Social Sensor (PSS), a friendly framework to social media data acquisition and analysis. We develop the Twitter data acquisition and analysis process, aiming to achieve the user application goals through a file setup,where the user specifies the spatial area, temporal interval, tags, and other parameters. As a result, the PSS shows a set of visual analysis which provides a context overview, allowing an easy way to researchers make-decision. A case study, Detection and Enrichment Service for Road Events Based on Heterogeneous Data Merger for VANETs, based on PSS framework was published in the current conference.
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Nakov, Preslav, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, and 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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Fast, Ethan, Binbin Chen, and 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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Rahmad, RM Basuki, Yody Rizkianto, and M. Gazali Rachman. "Response To The Need Of Students Of Geological Engineering Of UPN "Veteran" Yogyakarta University, Based On Online Learning Support Academic Facilities Survey During COVID-19 Pandemic." In LPPM UPN "VETERAN" Yogyakarta International Conference Series 2020. RSF Press & RESEARCH SYNERGY FOUNDATION, 2020. http://dx.doi.org/10.31098/pss.v1i1.195.

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COVID-19 pandemic, which is now happening worldwide, has a massive impact on many parts of our daily life. One of the affected aspects is education. The education system during the COVID-19 pandemic should fit the health protocol, which has been recommended by the World Health Organization (WHO) and The Ministry of Health of the Republic of Indonesia. Both students and lecturers are demanded to keep conducting the learning process virtually in their own houses by online learning. However, online learning support facilities used in UPN "Veteran" Yogyakarta University are still lacking and not centralized yet; thus, every department needs to prepare their needs autonomously. Geological Engineering Department surveyed supporting facilities needs as an essential preparation of the online academic system. The survey was conducted through an online form and was filled by 273 respondents who are active students of the Geological Engineering Department, (1) UPN "Veteran" Yogyakarta University. Almost 85% of the respondents expect learning information system which covers attendance list, announcement, and online interactive media, which is mobile-based in order to be easy to access and use. Based on the result of the survey, Geological Engineering Department is planning to produce an Android-based app with an attendance list and social media features inside. The social media feature is able to be used by students and lecturers to interact with one another, especially discussing online learning.
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Fink, Christoph, Tuomo Hiippala, Henrikki Tenkanen, Matthew A. Zook, and 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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10

De Fatima da Silva, Juliana, Maicon André Dall’ Asta, Fábio J. Parreira, Renan Binda, Vânia Ribas Ulbricht, and Sidnei Renato Silveira. "API ACCESSIBILITY EXTRACTION∗ API para Extração de Parâmetros em Objetos de Aprendizagem Digital para Validação de Acessibilidade." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p100-102.

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Abstract:
This article presents the development of an API in NodeJs to automatically extract parameters in EPUB, DOCX and PDF digital learning objects. These parameters are used to check the degree of accessibility of Digital Learning Objects for people with hearing and visual impairments. The API uses refactoring techniques and the use of recursive functions, resulting in a JSON object that can be used by many programming languages. The article presents the results of preliminary tests, where it was found that EPUB files are better structured, leaving the parameters completely free to be extracted. The validation will be supported by the Development and Innovation group in Rehabilitation and Digital Assistive Technology (DIRTA-UFSM) and the accessibility team at the Social Media and Social Inclusion (LAMID) laboratory at the Federal University of Santa Catarina (UFSC).
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