Dear all,
Dr. Ross Otto (McGill Psychology) will be speaking at the CRAM (Cognitive Research at McGill) Session this Friday, October 20, 11:45-12:30 PM (Room 735, 2001 McGill College).
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
Dear all,
There has been a change in the CRAM schedule. Dr. Ross Otto’s talk has been moved to December 8, thus there is no CRAM session this week (October 20). For an updated calendar of all the speakers this year, please visit: https://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series
Best, Mehrgol ___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com
On Oct 16, 2017, at 10:34 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, October 20, 11:45-12:30 PM (Room 735, 2001 McGill College).
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/
Kind reminder that there is no CRAM session today (October 20). The talks will continue next Friday.
___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com/
On Oct 18, 2017, at 4:03 PM, Mehrgol Tiv <mehrgol.tiv@mail.mcgill.camailto:mehrgol.tiv@mail.mcgill.ca> wrote:
Dear all,
There has been a change in the CRAM schedule. Dr. Ross Otto’s talk has been moved to December 8, thus there is no CRAM session this week (October 20). For an updated calendar of all the speakers this year, please visit: https://www.mcgill.ca/psychology/events-colloquia-0/brownbag-series
Best, Mehrgol ___________________________________ Mehrgol Tiv Ph.D. Student, Psychology, McGill University Language and Multilingualism Lab *mehrgoltiv.comhttp://mehrgoltiv.com/
On Oct 16, 2017, at 10:34 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, October 20, 11:45-12:30 PM (Room 735, 2001 McGill College).
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/