Age. Misinformation: Spreading false information (rumors, insults, and pranks). https://doi.org/10.1057/s41599-022-01174-9, DOI: https://doi.org/10.1057/s41599-022-01174-9. First differences of the multinominal logit modelPerplexity. Research also reveals individual differences in susceptibility to misinformation. 20, pp. The film discusses the role of African and aboriginal people in history and argues some achievements have not been properly recorded or credited to them. Time benefits: Detecting misinformation before it is too late with on-spot interception. The Flesch-Kincaid readability score is calculated with the following formula (Kincaid et al., 1975): where nw is the number of words, nst is the number of sentences, and nsy is the number of syllables. 907 claimed. Therefore, longer sentences and longer words require more cognitive effort to be effectively processed. For example, encouraging people to think analytically, in contrast to emotionally, decreases likelihood of liking or sharing fake news (Effron & Raj, 2020). Still, 21% of U.S. adults said in November 2020 that they dont plan to get vaccinated, even if more information becomes available (Pew Research Center, 2020)and psychologists say that countering coronavirus misinformation is necessary for breaking the viruss grip on society. And misinformation isnt the only factor in hesitancy toward COVID-19 vaccines. Association for Computing Machinery, New York, NY, USA, Ju Y, Back KJ, Choi Y, Lee JS (2019) Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction. Arch Pediatr Adolesc Med 155(7):807812, De Bruin WB, Granger Morgan M (2019) Reflections on an interdisciplinary collaboration to inform public understanding of climate change, mitigation, and impacts. Misinformation false or inaccurate information of all kinds, from honest mistakes to conspiracy theories and its more intentional subset, disinformation, are both thriving, fueled by a once-in-a-generation pandemic, extreme political polarization and a brave new world of social media. Proc Natl Acad Sci USA 106(41):1728417289, Article Media: Misinformation and Sensationalism. Psychol Sci 22(7):891893, Article (2018). Likewise, the results open the door to refining previous research. When we hear new information, we often think about what it may mean, says Norbert Schwarz, PhD, a professor of psychology and marketing at the University of Southern California. J Retail Consum Serv 53:101739, Kunda Z (1990) The case for motivated reasoning. Int J Hosp Manag 77:342352, Just MA, Carpenter PA (1980) A theory of reading: from eye fixations to comprehension. For perplexity, the first differences show that an increase from 91.37 to 215.01 translates into an 8.72% increase in the probabilities of content being classified as factual news (CI=[0.080, 0.095]), an increase in 11.85% for the probability of being clickbait (CI=[0.109, 0.127]), and an increase in 33.75% of being classified as junk science (CI=[0.327, 0.350)]. Advances in Experimental Social Psychology, 1, 191229. During the 2020 presidential election, Twitter flagged tweets that contained misleading information about election resultsa form of prebunkingand in December, Facebook announced that it would begin removing posts with false claims about COVID-19 vaccines. This isnt. And Starbird is analyzing discourse on mask-wearing on Twitter to understand how people invoke science to prove a point. Indeed, there is experimental evidence that engaging in analytic thinking reduces the propensity to share fake news (Bago et al., 2020; Gordon Pennycook et al., 2015; Gordon Pennycook & Rand, 2019). For example, rumors split from hate speech, conspiracy theories and fake news at height=6.68. Psychol Sci 31(1):7587, Ellis R, Yuan F (2004) The effects of planning on fluency, complexity, and accuracy in second language narrative writing. (2020). Emot Rev 3(3):237244, Horrigan J (2016) Digital literacy and learning in the United States, Huang L, Joseph AD, Nelson B, Rubinstein BIP, Tygar JD (2011) Adversarial machine learning. Regarding technology companies, there is evidence that correcting misinformation through related stories features in their platforms can reduce the prominence of misleading content (Bode & Vraga, 2015), although just around 3.7% (Pennycook & Rand, 2017). Proc Natl Acad Sci USA 117(14):76847689, Kononova A, Joo E, Yuan S (2016) If I choose when to switch: Heavy multitaskers remember online content better than light multitaskers when they have the freedom to multitask. Then, without moving your eyes, move the mouse cursor over the image. Misinformation is a type of fake news, which is false information reported by media outlets or shared by regular people. The story found a huge audience in the United States. Can You Blame Game of Thrones EPs for Skipping Comic Con? The story included quotes from a made-up Halifax police officer, who warned that you may as well be chewing on a gun. That prompted the real Halifax police to call the CBC newsroom
5Lewandowsky, S., et al. 103, No. Why is the Empire the Bad Guys in Star Wars? (1999); Consciousness and Cognition, 8(3), 338342; Pennycook, G., & Rand, D. G. (2019). WIRED https://www.wired.com/story/how-whatsapp-fuels-fake-news-and-violence-in-india/, Milkman KL, Berger J (2014) The science of sharing and the sharing of science. to complain about the story. Ships worldwide. Nat Hum Behav 5(3):337348, Mahir EM, Akhter S, Huq MR (2019). Farrar, Straus and Giroux; Reber, R., & Schwarz, N., Effects of perceptual fluency on judgments of truth. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), 12117 LNAI 3:113122, Matalon Y, Magdaci O, Almozlino A, Yamin D (2021) Using sentiment analysis to predict opinion inversion in Tweets of political communication. 14. https://aclanthology.org/W17-1213/, Garca-Portugs E (2021) Notes for predictive modeling Version 5.9.9. 47, No. Hidden Colors 1- The Untold Histroy of People of Colour around the Globe. In Proceedings of the 2017 conference on empirical methods in natural language processing (pp. The main intuition is that misinformation creators have a different writing style seeking to maximize reading, sharing and, in general, maximizing virality. Also 93-95% of all genetic variation is within groups NOT between them : Since 1972 geneticists have have confirmed that 85 per cent of variation exists within a population. For nearly 80 years, the Harvard Study of Adult Development has been producing data and lessons on how to live longer, happier, and healthier lives. Harvard expert Fran Berman advocates for prioritizing public interest over profit with tech innovation and social and regulatory controls. Of course given the subject its dealing with the producers likely had to make sure that it was as careful as possible when presenting the information. Capture a web page as it appears now for use as a trusted citation in the future. Expert Syst Appl 169(February 2020):114171, Chung M, Kim N (2021) When I learn the news is false: how fact-checking information stems the spread of fake news via third-person perception. Hidden Colors 2- The Triumph of Melanin (2012) Documentary. Determine if the info given actually supports the story. one thing that we have found is that people who are less engaged with the news do tend to be more hesitant, says John Della Volpe, director of polling at the Institute of Politics. Hidden Colors The Film: Black History the Whole Story by SouLutions Beyond Limits Publication date 2011-05-21 Umar R. Abdullah-Johnson, blood Relative of Frederick Douglass is a Certified Psychologist and President of the NATIONAL MOVEMENT TO SAVE BLACK BOYS. For example, how is the fingerprints of misinformation evolving over time? Finally, misinformation spreads six time faster than factual information (Vosoughi et al., 2018), that is the speed challenge. Graduate School of Arts and Sciences named in honor of alums four decades of philanthropy, support for expanding opportunity, advancing excellence. Regardless of why its shared, misinformation surrounding COVID-19 has been so rampant that the World Health Organization (WHO) declared a parallel infodemic to describe the scale of fake news and its potential impact on efforts to limit the viruss spread. Reputable fact-checking websites can also be helpful in seeking clarification. Fake news on social media reached a crescendo surrounding the 2016 U.S. presidential election. The Women in Data Science looks at what is needed to prevent truth from manipulation? IEEE Comput Intell Magaz 15(1):6475, Article Using hidden cameras, social media, court documents and tax returns, Marketplace pieced together a portrait of the movement's misinformation and fundraising tactics. Misinformation is a type of fake news, which is false information reported by media outlets or shared by regular people. Also the narrative that the Hidden Colors films feeds into & perpetuates the biologicalization of race, & fact is, race is a social construct. im just correcting some of the misinformation, that you thought was correct. However, the fingerprints can be used to automatically analyze every URL being shared in social media. Secondly, while one of my research objectives was the explainability of the measures and models, I also acknowledge thatpotentiallythere may be more complex measures and models that may be more useful to discern between misinformation content and factual sources. Lower probabilities indicate more information while higher probabilities indicate less information. How would you rate this article? Additionally, although the objective of this paper was not discussing the evidence at the source levelbut at the misinformation category level, it is also worth mentioning that sources belonging to the same category may behave differently. On the other hand, intent can vary between mislead the audience (fake news or conspiracy theories), attract website traffic (clickbait) or undefined intent (rumors) (Tables 1 and 2). Those in the experimental condition, who were also asked to rate the accuracy of each headline, shared more accurate news content compared with participants in the control group (Psychological Science, Vol. From there, the next separation is between clickbait and rumors (height=11.85). Studies of motivated reasoning by psychologist Peter Ditto, PhD, of the University of California, Irvine, show that people deploy skepticism selectivelyfor instance, when theyre less critical of ideas that align with their political beliefs (Gampa, A., et al., Social Psychological and Personality Science, Vol. J Commun 56(SUPPL):5780, Lazer DMJ, Baum MA, Benkler Y, Berinsky AJ, Greenhill KM, Menczer F, Zittrain JL (2018) The science of fake news. PLoS ONE 10(2):e0118093, Article Deception spreads faster than truth on social media. https://aclanthology.org/W16-4822/, Gamallo P, Campos JRP, Alegria I (2017) A perplexity-based method for similar languages discrimination. Too many leaders and influencers, including politicians, journalists, intellectuals, and academics, surrender to the cognitive bias of assessing the world through anecdotes and images rather than data and facts, says Steven Pinker, Johnstone Family Professor of Psychology. If its false, or very old, or taken out of context, there wont be other sources reporting the same thing. For this, I assess the importance of quantitative features grounded in psychological and behavioral sciences through an operationalization based on Natural Language Processing. Executive Summary. Take it from the experts, a pet can change your life. Therefore, to calculate the expected value I apply the same procedure for the predicted value and average over the fundamental uncertainty of the m simulations (in this case, m=100). That pattern also holds in other countries. In other words, the results should be interpreted on the aggregated or average effect, and not in the specific source effect. The algorithm matches words in the lexicon in each text and adds/subtracts points as it effectively finds positive and negative words in the dictionary that appear in the text. Journal of Personality and Social Psychology, 39(6), 10371049; McGuire, W. J. More specifically, following the definition proposed by (Zhou & Zafarani, 2020) the style-based categorization of content is formulated as a multinominal classification problem. For example, the information manipulation theory (McCornack et al., 2014) or the four-factor theory (Zuckerman et al., 1981) propose that misinformation is expressed differently in terms of arousal, emotions or writing style. An analysis of misinformation from five samples across the United States, Europe, and Mexico showed that substantial portions of each populationanywhere from 15% to 37%believed misinformation about COVID-19 in April and May 2020, representing what the authors call a major threat to public health. People who were more susceptible to misinformation were less likely to report complying with public health recommendations and less likely to say theyd get vaccinated (Royal Society Open Science, Vol. White supremacy is a toxin. Proc Natl Acad Sci USA 117(27):1553615545, Hakak S, Alazab M, Khan S, Gadekallu TR, Maddikunta PKR, Khan WZ (2021) An ensemble machine learning approach through effective feature extraction to classify fake news. CAS Contrarily, the same change in the scenario is associated with an increase being classified as conspiracy theory (p=0.021, CI=[0.009, 0.033]), clickbait (p=0.026, CI=[0.012, 0.040]), or fake news (p=0.066, CI=[0.055, 0.079]). This logistic model is generalizable to categorical variables with more than two levels namely {1,,J}{1,,J}. PubMed Its Vis. Meanwhile, research is underway to further characterize the spread of misinformation and its effects on behavior. 29, No. "Misinformation in Canada". Washington, DC, USA, May 2326, 2010, Turner J, Hogg M, Oakes P, Reicher S, Wetherell M (1987) Rediscovering the social group: a self-categorization theory. The fundamental problem with misinformation is that once people have heard it, they tend to believe and act on it, even after its been corrected, says Stephan Lewandowsky, PhD, a professor of psychology at the University of Bristol in the United Kingdom. In addition, since negative news spreads farther (Hansen et al., 2011; Vosoughi et al., 2018), I add an interaction term between morality and negativity by multiplying the morality per 500 words and the negativity per 500 words for each text, this being the main measurement for morality: where mori is the overall number of moral words in text i, negi is the absolute number of negative words in text i and nw,i is the total number of words in text i. Misinformation on COVID-19 is so pervasive that even some patients dying from the disease still say its a hoax. If people are aware that a specific content is aiming to trigger a reaction through less cognitive load and higher appealing to emotions, they will be less likely to share it (Martel et al., 2019). Google Scholar, Guess AM, Lerner M, Lyons B, Montgomery JM, Nyhan B, Reifler J, Sircar N (2020) A digital media literacy intervention increases discernment between mainstream and false news in the United States and India. Beyond the title and content for each item, the corpus also categorizes each new into one of the following categories: clickbait, conspiracy theories, fake news, hate speech, junk science, factual sources, and rumors. Slider with three articles shown per slide. Usually, fact-checkers and platform create lists and rankings of content (usually URLs) that are viral to assess its veracity. The information is priceless. Fact-checking is the best way to tell if a news story or other claim is true. Misinformation can be spread without ill intent, while . One of the main reasons proposed to explain this behavior is the dual-process theory of judgment stating that emotional thinking (in contrast to a more analytical thinking) hinders good judgment (Evans, 2003; Stanovich, 2005). Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects. The length of sentences and words are precisely the fundamental parameters of the Flesch-Kincaid index, the readability variable. Morality plays a role in identifying categories by augmenting their probabilities of being classified as factual news, rumors, hate speech or junk science as the appeal to morality decreases; and on the contrary, it leads to higher probabilities of being classified as fake news clickbait or conspiracy theories as the appeal to morality in a given text increases. Wrong audience. Specifically, the procedure is to simulate each variable setting all the other variables at their means and the variable I am interested in at its starting point (lower range). ISSN 2662-9992 (online), The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions, humanities and social sciences communications, $${\mathrm{Flesch.Kincaid}}\,{\mathrm{score}}\left( {{\mathrm{FK}}} \right) = 0.39 \ast \left( {\frac{{n_w}}{{n_{st}}}} \right) + 11.8 \ast \frac{{n_{sy}}}{{n_w}} - 15.59$$, $$H = - \mathop {\sum }\limits_x p\left( {{x}} \right){\mathrm{log}}_2\,q\left( x \right)$$, $${\mathrm{Perplexity}}\left( M \right) = \tau ^{ - \mathop {\sum }\limits_x p\left( {{{\mathrm{x}}}} \right)\,{\mathrm{log}}_2\,q\left( x \right)} = 2^H$$, $${Morality}_i\left( M \right) = \frac{{{mor}_i}}{{n_{w,i}}} \ast \frac{{{neg}_i}}{{n_{w,i}}}$$, $$d_{AB} = \sqrt {\mathop {\sum}\nolimits_{i = 1}^n {\left( {e_{Ai} - e_{Bi}} \right)^2} }$$, $$d_{AB} = \frac{{\mathop {\sum }\nolimits_{{{a}} \in {{A}},\,{{b}} \in {{B}}} d\left( {a,b} \right)}}{{\left| A \right| \ast \left| B \right|}}$$, $$W\left( {C_k} \right) = \mathop {\sum }\limits_{x_i \in C_k} \left( {x_i - \mu _k} \right)^2$$, $${\mathrm{tot.withiness}} = \mathop {\sum }\limits_{k = 1}^k W\left( {C_k} \right) = \mathop {\sum }\limits_{k = 1}^k \mathop {\sum }\limits_{x_i \in C_k} \left( {x_i - \mu _k} \right)^2$$, $${\mathrm{minimize}}\left( {\mathop {\sum }\limits_{k = 1}^k W\left( {C_k} \right)} \right)$$, $$p_j\left( x \right): = \frac{{{\Bbb P}\left[ {Y = j\left| {X_1} \right. 10, No. - HEEHEEE ! Show details. ),Routledge, 2020. For example, a text containing the string bla bla bla bla bla has an entropy of 0 because p(bla)=1 (a certainty), while the string this is an example of higher entropy has an entropy of 2.807355 (higher uncertainty). In this case, nw and nst act as a proxy for syntactic complexity and nsy acts as a proxy for lexical difficulty. All else being equal, a smaller vocabulary generally yields lower perplexity, as it is easier to predict the next word in a sequence (Koenecke et al., 2020). Preceding evidence shows that misinformation is more viral than factual news (Vosoughi et al., 2018). However, I also report all the other clustering possibilities as a robustness check. Hidden Colors: The Untold History of People of Aboriginal, Moor, and African Descent[ edit] The first installment in the series was released on April 14, 2011. Researchers have also started to document the scope of the infodemic. These misinformation categories are compared with factual news measuring the cognitive effort needed to process the content (grammar and lexical complexity) and its emotional evocation (sentiment analysis and appeal to morality). Basil Blackwell, van Dijck J (2013) You have one identity: performing the self on Facebook and LinkedIn. In order to carry out the analysis I use the Fake News Corpus (Szpakowski, 2018), comprised of 9.4 million news items extracted from 194 webpages. Claim is true in Data science looks at what is needed to prevent truth from manipulation lexical difficulty )! Psychol Sci 22 ( 7 ):891893, Article media: misinformation and.. Experts, a pet can change your life support for expanding opportunity, advancing excellence pet can change life... Words are precisely the fundamental parameters of the Fourth Workshop on NLP for similar languages, and... Results should be interpreted on the aggregated or average effect, and pranks ) et... 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