CSBC researchers discover surge in cognitive distortions since the 1980s

In a study published in PNAS, “Historical language records reveal a surge of cognitive distortions in recent decades,” CSBC researchers in the Luddy School of Informatics, Computing, and Engineering and colleagues at IU’s Department of Psychological and Brain Sciences analyzed millions of books published over the past 125 years. They discovered that, since the 1980s there has been a surge of language indicative of “cognitive distortions,” thinking patterns usually seen in internalizing orders such a depression and anxiety.

The paper results from a interdisciplinary collaboration between CSBC members Johan Bollen, Alexander Barron, Marijn ten Thij, Psychology and Brain Sciences faculty Lorenzo Lorenzo-Luaces and Lauren Rutter, Provost Professor of Germanic Studies Fritz Breithaupt, and Marten Scheffer of Wageningen University.

“Our analysis of the language used in a collection of more than 14 million books published from 1855 to 2019 in the United States, and German-, and Spanish-speaking countries, reveals a worrisome pattern,” Bollen said. “We see a pronounced ‘hockey stick’ pattern in which the use of cognitive distortion expressions surged well above historical levels in recent decades, including those of the great depression, and World War I and II, after declining or stable levels for most of the 20th century.”

The full press release can be found here

Full paper details:

Historical language records reveal a surge of cognitive distortions in recent decades Johan BollenMarijn ten ThijFritz BreithauptAlexander T. J. BarronLauren A. RutterLorenzo Lorenzo-LuacesMarten Scheffer
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CSBC researchers use Twitter data to study mental health impact of COVID-19

Researchers at the Luddy School of Informatics, Computing, and Engineering, led by Professor of Informatics and Computing Johan Bollen, Assistant Professor of Public Heath Danny Valdez from the IU School of Public Health, and Bollen’s post-doctoral fellow Marijn ten Thij, with colleagues in the Department of Psychology and Brain Science, used data collected from Twitter to study how use of the service changed during the early months of the pandemic and how the mood of its users evolved over time. The study, “Social Media Insights Into U.S. Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data,” was recently published in the Journal of Medical Internet Research.

Press release: https://luddy.indiana.edu/news/story.html?story=Luddy-researchers-use-Twitter-data-to-study-mental-health-impact-of-COVID19

Please cite as: Valdez D, ten Thij M, Bathina K, Rutter LA, Bollen J. Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data. J Med Internet Res 2020;22(12):e21418, DOI: 10.2196/21418, PMID: 33284783, PMCID: 7744146continue reading.

CNetS social media study shows how affect labeling can help moderate emotions

Your mother always told you that if something was bothering you, you should talk about it. It would make you feel better. Turns out she was right, and researchers at the School of Informatics, Computing, and Engineering have the science to prove it. Johan Bollen, a professor of informatics and computing, leads a team that analyzed the Twitter feeds of tens of thousands of users to study how emotions change before and after they were explicitly stated. In the study, “The minute-scale dynamics of online emotions reveal the effects of affect labeling,” published in the journal Nature Human Behaviour, Bollen and his colleagues used algorithms to measure how the positivity or negativity of tweets change before or after a user explicitly expressed having an emotion, e.g. saying “I feel bad” or “I feel good.” Their study not only reveals how emotions evolve over time, but also how their expression may change them, and how these changes differ between men and women.… continue reading.

Bollen social media study shows how affect labeling can help moderate emotions

Your mother always told you that if something was bothering you, you should talk about it. It would make you feel better. Turns out she was right, and researchers at the School of Informatics, Computing, and Engineering have the science to prove it. Johan Bollen, a professor of informatics and computing, leads a team that analyzed the Twitter feeds of tens of thousands of users to study how emotions change before and after they were explicitly stated. In the study, “The minute-scale dynamics of online emotions reveal the effects of affect labeling,” published in the journal Nature Human Behaviour, Bollen and his colleagues used algorithms to measure how the positivity or negativity of tweets change before or after a user explicitly expressed having an emotion, e.g. saying “I feel bad” or “I feel good.” Their study not only reveals how emotions evolve over time, but also how their expression may change them, and how these changes differ between men and women.… continue reading.