Media Manipulation and Disinformation Online

By B. Lewis, Alice E. Marwick. 2017

810 citations recorded by the source corpus.

Subfields: AI Ethics, Fairness & Society, Social Sciences & Humanities

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Citations in the corpus

Ethical and social risks of harm from Language Models (2021, background): “At scale, misinformed individuals and misinformation from language technologies may amplify distrust and undermine society’s shared epistemology (Lewis and Marwick, 2017).”
Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram (2018, background): “…of questions may lead to more productive discussions of and responses to the perennial crises that emerge from this system of actors—for example, media manipulation (e.g. Marwick and Lewis, 2017) or harmful or unethical business practices (e.g. Cadwalladr and Graham-Harrison, 2018; Warzel, 2014).”
Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward (2021, background): “To defame opponent parties, politicians can use deepfakes to post controversial content about their competitors on conventional media [25].”
“Dangerous organizations: Facebook’s content moderation decisions and ethnic visibility in Myanmar” (2021, background): “This lack of transparency and inability to reconcile inherent biases with infrastructural necessities has blossomed into an environment ripe for shameless opportunists, white supremacists, racists, authoritarian actors, and other malicious riders to manipulate for their own political or personal end”
Anti-Latinx Computational Propaganda in the United States (2019, neutral): “The spread of political disinformation and propaganda online is considered to have negative societal outcomes (Marwick & Lewis, 2017).”
On the Origins of Memes by Means of Fringe Web Communities (2018, background): “In this context, polarized communities within 4chan and Reddit have been working hard to create new memes and make them go viral, aiming to increase the visibility of their ideas—a phenomenon known as “attention hacking” [59].”
Creating News Literacy Messages to Enhance Expert Corrections of Misinformation on Twitter (2020, background): “These efforts are generally limited to those in educational settings, divorcing NL from spaces, like social media, where misinformation spreads (Bulger & Davison, 2018; Marwick & Lewis, 2017).”
Discovering and Categorising Language Biases in Reddit (2020, background): “In response, men must protect themselves against a ‘misandrist’ culture and the feminising of society (Marwick and Lewis 2017; LaViolette and Hogan 2019).”
Disinformation and social bot operations in the run up to the 2017 French presidential election (2017, background): “…elections, both in the United States (Bessi & Ferrara, 2016; Kollanyi, et al., 2016; Shorey & Howard, 2016; Wolley, 2016; Wolley & Howard, 2016; Marwick & Lewis, 2017; Wang, et al., 2017), and all over the world, including in South America (Forelle, et al., 2015; Suárez-Serrato, et al., 2016),…”
Correction Experiences on Social Media During COVID-19 (2021, background): “…of information, transmitting information from health experts to the public (De Coninck et al., 2020), mainstream news can amplify misinformation (Marwick & Lewis, 2020; Papakyriakopoulos et al., 2020), and may be a more frequent source of misinformation for most people than social media is…”