- Oct 2022
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www.cits.ucsb.edu www.cits.ucsb.edu
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Trolls, in this context, are humans who hold accounts on social media platforms, more or less for one purpose: To generate comments that argue with people, insult and name-call other users and public figures, try to undermine the credibility of ideas they don’t like, and to intimidate individuals who post those ideas. And they support and advocate for fake news stories that they’re ideologically aligned with. They’re often pretty nasty in their comments. And that gets other, normal users, to be nasty, too.
Not only programmed accounts are created but also troll accounts that propagate disinformation and spread fake news with the intent to cause havoc on every people. In short, once they start with a malicious comment some people will engage with the said comment which leads to more rage comments and disagreements towards each other. That is what they do, they trigger people to engage in their comments so that they can be spread more and produce more fake news. These troll accounts usually are prominent during elections, like in the Philippines some speculates that some of the candidates have made troll farms just to spread fake news all over social media in which some people engage on.
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So, bots are computer algorithms (set of logic steps to complete a specific task) that work in online social network sites to execute tasks autonomously and repetitively. They simulate the behavior of human beings in a social network, interacting with other users, and sharing information and messages [1]–[3]. Because of the algorithms behind bots’ logic, bots can learn from reaction patterns how to respond to certain situations. That is, they possess artificial intelligence (AI).
In all honesty, since I don't usually dwell on technology, coding, and stuff. I thought when you say "Bot" it is controlled by another user like a legit person, never knew that it was programmed and created to learn the usual patterns of posting of some people may be it on Twitter, Facebook, and other social media platforms. I think it is important to properly understand how "Bots" work to avoid misinformation and disinformation most importantly during this time of prominent social media use.
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- Aug 2022
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www.ft.com www.ft.com
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Harford, T. (2021, May 6). What magic teaches us about misinformation. https://www.ft.com/content/5cea69f0-7d44-424e-a121-78a21564ca35
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Meet the media startups making big money on vaccine conspiracies. (n.d.). Fortune. Retrieved December 23, 2021, from https://fortune.com/2021/05/14/disinformation-media-vaccine-covid19/
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- Jun 2022
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www.newyorker.com www.newyorker.com
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algorithmic radicalization is presumably a simpler problem to solve than the fact that there are people who deliberately seek out vile content. “These are the three stories—echo chambers, foreign influence campaigns, and radicalizing recommendation algorithms—but, when you look at the literature, they’ve all been overstated.”
algorithmic radicalization
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- Feb 2022
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www.joinexpeditions.com www.joinexpeditions.com
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Democracy in the age of social media. (n.d.). EXPeditions - Meet the World’s Best Minds. Retrieved February 5, 2022, from https://www.joinexpeditions.com/exps/43
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- Jan 2022
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www.theatlantic.com www.theatlantic.com
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Bartlett, T. (2021, August 12). The Vaccine Scientist Spreading Vaccine Misinformation. The Atlantic. https://www.theatlantic.com/science/archive/2021/08/robert-malone-vaccine-inventor-vaccine-skeptic/619734/
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www.bbc.co.uk www.bbc.co.uk
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Should bad science be censored on social media? (2022, January 19). BBC News. https://www.bbc.com/news/technology-60036861
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www.macleans.ca www.macleans.ca
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Maher, S. (2022, January 3). Misinformation from the U.S. is the next virus—And it’s spreading fast. Macleans.Ca. https://www.macleans.ca/society/health/misinformation-from-the-u-s-is-the-next-virus-and-its-spreading-fast/
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- Dec 2021
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scitechdaily.com scitechdaily.com
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Zewe, A., & Technology, M. I. of. (2021, December 19). MIT Scientists Find Clues to Why Fake News Snowballs on Social Media. SciTechDaily. https://scitechdaily.com/mit-scientists-find-clues-to-why-fake-news-snowballs-on-social-media/
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www.science.org www.science.org
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Antivaccine activists use a government database on side effects to scare the public. (n.d.). Retrieved December 7, 2021, from https://www.science.org/content/article/antivaccine-activists-use-government-database-side-effects-scare-public
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- Nov 2021
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www.menshealth.com www.menshealth.com
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Caulfield, T. (2021, October 18). The Golden Age of Junk Science Is Killing Us. Men’s Health. https://www.menshealth.com/health/a37910261/how-junk-science-and-misinformation-hurt-us/
Tags
- conspiracy theory
- media
- vaccine-safety
- pseudoscience
- health
- misinformation
- popular culture
- news
- discrimination
- scientific community
- ideology
- policy
- social media
- science
- wellbeing
- worldview
- fake news
- vaccine hesitancy
- vaccine
- wellness
- is:webpage
- COVID-19
- infodemic
- trust
- lang:en
- negativity bias
- stigma
Annotators
URL
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psyarxiv.com psyarxiv.com
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Epstein, Z., Sirlin, N., Arechar, A. A., Pennycook, G., & Rand, D. (2021). Social Media Sharing Reduces Truth Discernment. PsyArXiv. https://doi.org/10.31234/osf.io/q4bd2
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- Oct 2021
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dl.acm.org dl.acm.org
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We propose a tri-relationship embedding framework TriFN, which models publisher-news relations and user-news interactions simultaneously for fake news classification. We conduct experiments on two real-world datasets, which demonstrate that the proposed approach significantly outperforms other baseline methods for fake news detection.
It was said in the conclusion that the TriFN can have a good fake news detection performance in the early stage of information dissemination because of the interactions in social media. User credibility was also mentioned since low credibility users tend to spread fake news.
This means that users play a big part in detecting and reducing fake news in social media. Let's be responsible to only share credible news articles and report the misleading ones.
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nationalpost.com nationalpost.com
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‘Error in judgement’: CBC Edmonton regrets mannequin’s use in COVID-19 news report | National Post. (n.d.). Retrieved October 15, 2021, from https://nationalpost.com/news/canada/error-in-judgement-cbc-edmonton-regrets-mannequins-use-in-covid-19-news-report?utm_medium=Social&utm_source=Twitter#Echobox=1634226060-1
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twitter.com twitter.com
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Shematologist, MD on Twitter: “How it started. How it’s going. Https://t.co/il5DWFm11W” / Twitter. (n.d.). Retrieved October 10, 2021, from https://twitter.com/acweyand/status/1442304094945873922
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www.tagesschau.de www.tagesschau.de
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tagesschau.de. (n.d.). Entwicklung von Impfstoffen: Komplett verdrehte Aussage. tagesschau.de. Retrieved March 2, 2021, from https://www.tagesschau.de/faktenfinder/merck-impfstoff-immunitaet-105.html
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- Aug 2021
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www.theguardian.com www.theguardian.com
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‘Spreading like a virus’: Inside the EU’s struggle to debunk Covid lies | World news | The Guardian. (n.d.). Retrieved August 18, 2021, from https://www.theguardian.com/world/2021/aug/17/spreading-like-a-virus-inside-the-eus-struggle-to-debunk-covid-lies?CMP=Share_iOSApp_Other
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www.frontiersin.org www.frontiersin.org
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van der Linden, S., Roozenbeek, J., & Compton, J. (2020). Inoculating Against Fake News About COVID-19. Frontiers in Psychology, 0. https://doi.org/10.3389/fpsyg.2020.566790
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thebulletin.org thebulletin.org
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We’ve analyzed thousands of COVID-19 misinformation narratives. Here are six regional takeaways—Bulletin of the Atomic Scientists. (n.d.). Retrieved August 1, 2021, from https://thebulletin.org/2021/06/weve-analyzed-thousands-of-covid-19-misinformation-narratives-here-are-six-regional-takeaways/
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- Jul 2021
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www.buzzfeednews.com www.buzzfeednews.com
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Facebook Sided With The Science Of The Coronavirus. What Will It Do About Vaccines And Climate Change? (n.d.). BuzzFeed News. Retrieved 11 February 2021, from https://www.buzzfeednews.com/article/alexkantrowitz/facebook-coronavirus-misinformation-takedowns
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Covid-19 pandemic was not planned by Rockefeller Foundation. (16:48:50.595211+00:00). Full Fact. https://fullfact.org/online/covid-19-pandemic-was-not-planned-rockefeller-foundation/
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twitter.com twitter.comTwitter1
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Matthew Gertz on Twitter: “These are all from the last day. Https://t.co/psMkSZf7PF” / Twitter. (n.d.). Retrieved July 9, 2021, from https://twitter.com/MattGertz/status/1413121265284562951
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- Jun 2021
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www.youtube.com www.youtube.com
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Covering Coronavirus: Fighting the ‘Infodemic’—YouTube. (n.d.). Retrieved June 28, 2021, from https://www.youtube.com/watch?v=v-Po9anfLrA
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Covid-19 Conspiracies: How Can We Deal With Misinformation? (n.d.). Retrieved June 28, 2021, from https://www.forbes.com/sites/sunitasah/2021/01/07/covid-19-conspiracies-how-can-we-deal-with-misinformation/?sh=526aa35b2b3f
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- Mar 2021
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psyarxiv.com psyarxiv.com
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Szumowska, E., Czarnek, G., Dragon, P., & Keersmaecker, J. D. (2021). Multitasking and correction of false information. PsyArXiv. https://doi.org/10.31234/osf.io/w5v4z
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- Feb 2021
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Fukuyama, Barak Richman and Francis. “How to Quiet the Megaphones of Facebook, Google and Twitter.” Wall Street Journal, February 12, 2021, sec. Life. https://www.wsj.com/articles/how-to-quiet-the-megaphones-of-facebook-google-and-twitter-11613068856.
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www.pnas.org www.pnas.org
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Brashier, N. M., Pennycook, G., Berinsky, A. J., & Rand, D. G. (2021). Timing matters when correcting fake news. Proceedings of the National Academy of Sciences, 118(5). https://doi.org/10.1073/pnas.2020043118
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psyarxiv.com psyarxiv.com
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Pennycook, G., Binnendyk, J., Newton, C., & Rand, D. G. (2020, October 1). A practical guide to doing behavioural research on fake news and misinformation. https://doi.org/10.31234/osf.io/g69ha
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- Dec 2020
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psyarxiv.com psyarxiv.com
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Bor, A., Osmundsen, M., Rasmussen, S. H. R., Bechmann, A., & Petersen, M. (2020, September 24). "Fact-checking" videos reduce belief in but not the sharing of "fake news" on Twitter. https://doi.org/10.31234/osf.io/a7huq
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Pennycook, G., & Rand, D. (2020). The Cognitive Science of Fake News. PsyArXiv. https://doi.org/10.31234/osf.io/ar96c
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- Oct 2020
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www.scientificamerican.com www.scientificamerican.com
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Aschwanden, C. (n.d.). Debunking the False Claim That COVID Death Counts Are Inflated. Scientific American. Retrieved 21 October 2020, from https://www.scientificamerican.com/article/debunking-the-false-claim-that-covid-death-counts-are-inflated/
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- Aug 2020
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psyarxiv.com psyarxiv.com
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Martel, C., Mosleh, M., & Rand, D. (2020). You’re definitely wrong, maybe: Correction style has minimal effect on corrections of misinformation online. https://doi.org/10.31234/osf.io/w3tfb
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- Jul 2020
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www.thelancet.com www.thelancet.com
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Diseases, The Lancet Infectious. ‘The COVID-19 Infodemic’. The Lancet Infectious Diseases 0, no. 0 (17 July 2020). https://doi.org/10.1016/S1473-3099(20)30565-X.
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- Jun 2020
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twitter.com twitter.com
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David G. Rand en Twitter: “Today @GordPennycook & I wrote a @nytimes op ed ‘The Right Way to Fix Fake News’ https://t.co/dyF84g6oqv tl;dr: Platforms must rigorously TEST interventions, b/c intuitions about what will work are often wrong In this thread I unpack the many studies behind our op ed 1/” / Twitter. (n.d.). Twitter. Retrieved April 15, 2020, from https://twitter.com/dg_rand/status/1242526565793136641
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www.npr.org www.npr.org
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Researchers: Nearly Half Of Accounts Tweeting About Coronavirus Are Likely Bots. (2020, May 20). NPR. https://www.npr.org/sections/coronavirus-live-updates/2020/05/20/859814085/researchers-nearly-half-of-accounts-tweeting-about-coronavirus-are-likely-bots
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twitter.com twitter.com
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Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465
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twitter.com twitter.com
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Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/jamesheathers/status/1271058689970114560
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www.nytimes.com www.nytimes.com
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Wong, E., Rosenberg, M., & Barnes, J. E. (2020, April 22). Chinese Agents Helped Spread Messages That Sowed Virus Panic in U.S., Officials Say. The New York Times. https://www.nytimes.com/2020/04/22/us/politics/coronavirus-china-disinformation.html
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www.springer.com www.springer.com
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Journal of Computational Social Science. Springer. Retrieved June 10, 2020, from https://www.springer.com/journal/42001/updates/17993070
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www.scs.cmu.edu www.scs.cmu.edu
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Young, V. A. (2020, May 20). Nearly Half Of The Twitter Accounts Discussing ‘Reopening America’ May Be Bots. Carnegie Mellon School of Computer Science. https://www.scs.cmu.edu/news/nearly-half-twitter-accounts-discussing-%E2%80%98reopening-america%E2%80%99-may-be-bots
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- May 2020
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www.wired.com www.wired.com
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Porter, E. & Wood. T.J. (2020 May 14). Why is Facebook so afraid of checking facts? Wired. https://www.wired.com/story/why-is-facebook-so-afraid-of-checking-facts/
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www.nature.com www.nature.com
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Ball, P. (2020). Anti-vaccine movement could undermine efforts to end coronavirus pandemic, researchers warn. Nature, 581(7808), 251–251. https://doi.org/10.1038/d41586-020-01423-4
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Pummerer, L., & Sassenberg, K. (2020, April 14). Conspiracy Theories in Times of Crisis and their Societal Effects: Case “Corona”. https://doi.org/10.31234/osf.io/y5grn
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- Nov 2018
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www.niemanlab.org www.niemanlab.org
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As deepfakes make their way into social media, their spread will likely follow the same pattern as other fake news stories. In a MIT study investigating the diffusion of false content on Twitter published between 2006 and 2017, researchers found that “falsehood diffused significantly farther, faster, deeper, and more broadly than truth in all categories of information.” False stories were 70 percent more likely to be retweeted than the truth and reached 1,500 people six times more quickly than accurate articles.
This sort of research should make it eaiser to find and stamp out from the social media side of things. We need regulations to actually make it happen however.
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