- Dec 2022
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psycnet.apa.org psycnet.apa.org
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Using actual fake-news headlines presented as they were seen on Facebook, we show that even a single exposure increases subsequent perceptions of accuracy, both within the same session and after a week. Moreover, this “illusory truth effect” for fake-news headlines occurs despite a low level of overall believability and even when the stories are labeled as contested by fact checkers or are inconsistent with the reader’s political ideology. These results suggest that social media platforms help to incubate belief in blatantly false news stories and that tagging such stories as disputed is not an effective solution to this problem.
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www.nature.com www.nature.com
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Exposure to elite misinformation is associated with the use of toxic language and moral outrage.
Shown is the relationship between users’ misinformation-exposure scores and (a) the toxicity of the language used in their tweets, measured using the Google Jigsaw Perspective API27, and (b) the extent to which their tweets involved expressions of moral outrage, measured using the algorithm from ref. 28. Extreme values are winsorized by 95% quantile for visualization purposes. Small dots in the background show individual observations; large dots show the average value across bins of size 0.1, with size of dots proportional to the number of observations in each bin. Source data are provided as a Source Data file.
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- Aug 2022
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Atari, M., Reimer, N. K., Graham, J., Hoover, J., Kennedy, B., Davani, A. M., Karimi-Malekabadi, F., Birjandi, S., & Dehghani, M. (2021). Pathogens Are Linked to Human Moral Systems Across Time and Space. PsyArXiv. https://doi.org/10.31234/osf.io/tnyh9
Tags
- purity
- moral behavior
- psychiatry
- care
- morality
- cultural psychology
- culture
- infectious diseases
- research
- COVID-19
- cultural difference
- social and personality psycholgy
- moral code
- is:preprint
- Pathogen Avoidance
- behavioral science
- cross-cultural psychology
- moral foundation theory
- computational linguistics
- loyalty
- lang:en
- US
- pathogen
- social and behavioral science
- linguistics
- adaptive moral system
- evolution
Annotators
URL
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- Dec 2021
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learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com
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Hobbes and Rousseau told their contemporaries things that werestartling, profound and opened new doors of the imagination. Nowtheir ideas are just tired common sense. There’s nothing in them thatjustifies the continued simplification of human affairs. If socialscientists today continue to reduce past generations to simplistic,two-dimensional caricatures, it is not so much to show us anythingoriginal, but just because they feel that’s what social scientists areexpected to do so as to appear ‘scientific’. The actual result is toimpoverish history – and as a consequence, to impoverish our senseof possibility.
The simplification required to make models and study systems can be a useful tool, but one constantly needs to go back to the actual system to make sure that future predictions and work actually fit the real world system.
Too often social theorists make assumptions which aren't supported in real life and this can be a painfully dangerous practice, especially when those assumptions are built upon in ways that put those theories out on a proverbial creaking limb.
This idea is related to the bias that Charles Mathewes points out about how we treat writers as still living or as if they never lived. see: https://hypothes.is/a/VTU2lFvZEeyiJ2tN76i4sA
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- Oct 2021
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psyarxiv.com psyarxiv.com
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Henderson, R. K., & Schnall, S. (2021). Social Threat Indirectly Increases Moral Condemnation via Thwarting Fundamental Social Needs [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/rjzys
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- May 2021
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psyarxiv.com psyarxiv.com
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Bedder, R., Vaghi, M., Dolan, R., & Rutledge, R. (2020). Risk taking for potential losses but not gains increases with time of day. PsyArXiv. https://doi.org/10.31234/osf.io/3qdnx
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- Mar 2021
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www.sciencedirect.com www.sciencedirect.com
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Bish, A., Yardley, L., Nicoll, A., & Michie, S. (2011). Factors associated with uptake of vaccination against pandemic influenza: A systematic review. Vaccine, 29(38), 6472–6484. https://doi.org/10.1016/j.vaccine.2011.06.107
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psyarxiv.com psyarxiv.com
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Neville, F. G., Templeton, A., Smith, J., & Louis, W. R. (2021). Social norms, social identities and the COVID-19 pandemic: Theory and recommendations. PsyArXiv. https://doi.org/10.31234/osf.io/m9afs
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Mulukom, V. van, Pummerer, L., Alper, S., Bai, (Max) Hui, Cavojova, V., Farias, J. E. M., Kay, C. S., Lazarevic, L., Lobato, E. J. C., Marinthe, G., Banai, I. P., Šrol, J., & Zezelj, I. (2020). Antecedents and consequences of COVID-19 conspiracy theories: A rapid review of the evidence. PsyArXiv. https://doi.org/10.31234/osf.io/u8yah
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- Sep 2020
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arxiv.org arxiv.org
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Rostami-Tabar, B., Ali, M. M., Hong, T., Hyndman, R. J., Porter, M. D., & Syntetos, A. (2020). Forecasting for Social Good. ArXiv:2009.11669 [Cs]. http://arxiv.org/abs/2009.11669
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- Aug 2020
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twitter.com twitter.com
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Whitney R. Robinson on Twitter: “1/ An #EpiTwitter 🧵 about theory... https://t.co/rSjfkHG21r” / Twitter. (n.d.). Twitter. Retrieved August 18, 2020, from https://twitter.com/WhitneyEpi/status/1295522551892971520
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- Jul 2020
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- social science
- social norm
- social distancing
- data collection
- misinformation
- tracker
- research
- government
- COVID-19
- spreadsheet
- conspiracy theory
- community
- isolation
- preprint
- infection
- healthcare
- lang:en
- mental health
- sheets
- unofficial
- international
- social media
- publication
- analysis
- uncertainty
- policy
- is:other
- behavior
- medicine
Annotators
URL
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psyarxiv.com psyarxiv.com
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Fatfouta, R., & Oganian, Y. (2020). Bargaining under social distancing requirements: Effects of face masks on socio-economic decision-making in the COVID-19 pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cn7by
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- Jun 2020
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www.cambridge.org www.cambridge.org
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Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (undefined/ed). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 1–7. https://doi.org/10.1017/S003329172000224X
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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.annualreviews.org www.annualreviews.org
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Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
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psyarxiv.com psyarxiv.com
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Leary, A., Dvorak, R., De Leon, A., Peterson, R., & Troop-Gordon, W. (2020). COVID-19 Social Distancing [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mszw2
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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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