Dear all,
Dr. Ross Otto (McGill Psychology) will be speaking at the CRAM (Cognitive Research at McGill) Session this Friday, December 8, 11:45-12:45 PM (Room 735, 2001 McGill College). This will be the last CRAM session of the fall term.
His talk is titled, "The Interplay between Prediction Errors, Twitter Mood, and Real-World Gambling”
For a full abstract, see below the dashed line.
Please join us at this event! The full speaker list can be found herehttps://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series. ——————————————————
"The Interplay between Prediction Errors, Twitter Mood, and Real-World Gambling” Ross Otto, McGill University
A growing body of work reveals how unexpected positive outcomes can alter risk attitudes, presumably through changes in moods, resulting in increased risk-taking behavior. Moreover, the effect of these positive outcomes upon mood appears to be nuanced: an outcome exerts a stronger effect when it is unexpected rather than expected, and this manifests in both affective experience and momentary, subjective well-being. Here we examine how real-world unexpected outcomes can shift mood states which are observable at the level of a city, in turn predicting changes in consequential risk-taking behaviour. By analyzing mood language extracted from millions of daily, location-specific Twitter messages, we examine how real-world 'prediction errors' predict day-to-day mood states observable at the level of a city. Studying US six cities over two years, we reveal that day-to-day fluctuations in Twitter-inferred mood states could be predicted by prediction errors stemming from local sports and weather outcomes. These mood states in turn predicted increased per-person lottery gambling rates in a subset of these cities for which we could measure gambling rates, revealing for the first time the real-world interplay between prediction errors, moods, and risk attitudes. Our results demonstrate that fluctuations in mood states underlying real-world risk-taking behavior can be measured through social media. ___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com
Hello everyone,
Kind reminder that Dr. Ross Otto will be speaking in today’s (December 1) CRAM session, 11:45-12:45 (2001 McGill College, Room 735). Please note that this is the final CRAM session of the semester.
His talk is titled, "The Interplay between Prediction Errors, Twitter Mood, and Real-World Gambling”
Feel free to bring your lunch and join us for this event!
___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com
On Dec 4, 2017, at 10:15 AM, Mehrgol Tiv <mehrgol.tiv@mail.mcgill.camailto:mehrgol.tiv@mail.mcgill.ca> wrote:
Dear all,
Dr. Ross Otto (McGill Psychology) will be speaking at the CRAM (Cognitive Research at McGill) Session this Friday, December 8, 11:45-12:45 PM (Room 735, 2001 McGill College). This will be the last CRAM session of the fall term.
His talk is titled, "The Interplay between Prediction Errors, Twitter Mood, and Real-World Gambling”
For a full abstract, see below the dashed line.
Please join us at this event! The full speaker list can be found herehttps://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series. ——————————————————
"The Interplay between Prediction Errors, Twitter Mood, and Real-World Gambling” Ross Otto, McGill University
A growing body of work reveals how unexpected positive outcomes can alter risk attitudes, presumably through changes in moods, resulting in increased risk-taking behavior. Moreover, the effect of these positive outcomes upon mood appears to be nuanced: an outcome exerts a stronger effect when it is unexpected rather than expected, and this manifests in both affective experience and momentary, subjective well-being. Here we examine how real-world unexpected outcomes can shift mood states which are observable at the level of a city, in turn predicting changes in consequential risk-taking behaviour. By analyzing mood language extracted from millions of daily, location-specific Twitter messages, we examine how real-world 'prediction errors' predict day-to-day mood states observable at the level of a city. Studying US six cities over two years, we reveal that day-to-day fluctuations in Twitter-inferred mood states could be predicted by prediction errors stemming from local sports and weather outcomes. These mood states in turn predicted increased per-person lottery gambling rates in a subset of these cities for which we could measure gambling rates, revealing for the first time the real-world interplay between prediction errors, moods, and risk attitudes. Our results demonstrate that fluctuations in mood states underlying real-world risk-taking behavior can be measured through social media. ___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com/