662 research outputs found

    Unraveling WhatsApp group dynamics to understand the threat of misinformation in messaging apps

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    In this article, we present an analysis of distinctive WhatsApp uses with a focus on group dynamics, and how they are correlated with exposure to, belief in, accidental, and purposeful sharing of misinformation as well as misinformation corrections. Based on two nationally representative surveys in Brazil, and after controlling for a range of factors, we find that (a) being part of WhatsApp groups with no ties is significantly correlated with higher exposure to, belief in, and engagement with online misinformation, including sharing misinformation and being corrected for misinformation, as well as correcting others for misinformation on WhatsApp; (b) frequency of posting on WhatsApp is also significantly correlated with all our dependent variables, suggesting the role of hyperactive minorities in the spread of misinformation; and (c) discussing current affairs in strong tie groups and having frequent one-to-one discussions are significantly correlated with only a limited number of misinformation-related attitudes and beliefs

    sj-docx-1-hij-10.1177_19401612221112572 - Supplemental material for The Watchdog Press in the Doghouse: A Comparative Study of Attitudes about Accountability Journalism, Trust in News, and News Avoidance

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    Supplemental material, sj-docx-1-hij-10.1177_19401612221112572 for The Watchdog Press in the Doghouse: A Comparative Study of Attitudes about Accountability Journalism, Trust in News, and News Avoidance by Antonis Kalogeropoulos, Benjamin Toff and Richard Fletcher in The International Journal of Press/Politics</p

    Collapse and Reconstitution: Autonomy and the Avant-Garde

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    A critical discussion of the historical avant-garde, De Stijl and the work of Theo van Doesburg and its reception and re-interpretations through the years. For the occasion of an art installation at the Centraal Museum in Utrecht by the artist Antonis Pittas.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Space & Typ

    The Reuters Institute digital news report 2018

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    The seventh Digital News Report from the Reuters Institute for the Study of Journalism at the University of Oxford contains a wealth of data about consumption by brand, device and platform across countries. It focuses on the issues of trust, misinformation, changing business models and the role of platforms

    How close before you burn? Questions of ethics and distance in researching crisis and unrest

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    Researchers examining urban riots or unrest constantly face questions about the motivations behind and impact of their work. These questions verge on the existential, because questioning a research topic essentially interrogates researchers’ role and existence as social scientists. With reference to two project examples from Athens, Greece, the author attempts to show how he has so far tried to grapple with such questions. Researching closely and drawing conclusions from distance: this has been a personal model of adjustable distance to the author’s research subjects, a strategy that seem to have somehow worked for the time being, writes Antonis Vradis

    Fact-checking, Misinformation and TikTok

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    The thesis examines the dimensions of misinformation and other forms of falsehoods on TikTok, how they are discussed in user comments and the perceptions of its creators by drawing on a mixed methodological approach. The study has three stages of analysis. Firstly, the quantitative content analysis of TikTok videos (N = 87) is grounded in Shifman’s (2014) meme analysis model, breaking each analytical unit down into content, form, and stance while also taking into account the importance of user engagement. The second stage encompasses the combined quantitative content analysis and qualitative thematic analysis of 6184 comments. Lastly, the ethnographic analysis of profiles and semi-structured interviews with profile owners delves into the perspectives of TikTok content creators. The contributions of the thesis are both theoretical and empirical. The findings reveal how misinformation is categorised and classified into eleven typologies in descending order of accuracy from mostly true to ‘pants on fire’. The results indicate that users encounter a variety of misinformation topics on TikTok, with most of the content focusing on health and politics. The form and features of high-frequency TikTok misinformation videos contrast with popular formats such as stitch and duet, and more than half of the sample videos incorporate text over images. Communication on TikTok ranges from humorous and cynical content to profoundly personal and emotional content. Further analysis reveals how users perceive and engage with misinformation on TikTok by conceptualising corresponding comments. More than half of the audience tended to accept and believe false information without much questioning. The discussions were mostly neutral and entirely on-topic, suggesting that the audience was highly interested and engaged in the topics under discussion. Theoretically, the study provides a detailed account of the trends and patterns of audience discussion on diverse and complex issues, such as health, war, politics, and pop culture. These comments are conceptualised into five broad themes through an entirely open-ended thematic analysis. The study concludes by discussing the role of content creators and delineating the circumstances that led to these falsehoods appearing on TikTok. The most important contribution of this thesis is the dissection of the empirical realities of two cases of TikTok creators whose videos were identified as misinformation by international fact-checking websites. The content creators find it challenging to balance performance authenticity as influencers with the neoliberal ideologies embedded in the current climate of the gig economy. The perspectives of content creators and ethnographic observations of their profiles are conceptualised into four key themes. The study contributes to various strands of conspiracy theory, misinformation and social media literature

    Dataset: "I Can't Keep It Up." A Dataset from the Defunct Voat.co News Aggregator

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    This is the dataset released with the paper titled: "I Can’t Keep It Up." A Dataset from the Defunct Voat.co News Aggregator. The dataset consists of 15,133 Newline delimited JSON files (ndjson). More specifically, 7,616 files for submission data, 7,515 for comment data, 1 for user data, and 1 for subverse data. Each line in the ndjson files consists of a JSON object. The JSON objects contain all the key/values we collect through the Voat API and the custom parser of the Internet Archive Wayback Machine Voat snapshot release. For the detailed description of every key in the JSON structure, along with the type of the value, please read the readme.pdf file provided with this dataset. If you find our dataset useful, please cite our paper: @inproceedings{mekacher2022can, title={"I Can't Keep It Up." A Dataset from the Defunct Voat.co News Aggregator}, author={Mekacher, Amin and Papasavva, Antonis}, booktitle={16th International Conference on Web and Social Media}, year={2022}
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