Literature DB >> 21960633

Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.

Scott A Golder1, Michael W Macy.   

Abstract

We identified individual-level diurnal and seasonal mood rhythms in cultures across the globe, using data from millions of public Twitter messages. We found that individuals awaken in a good mood that deteriorates as the day progresses--which is consistent with the effects of sleep and circadian rhythm--and that seasonal change in baseline positive affect varies with change in daylength. People are happier on weekends, but the morning peak in positive affect is delayed by 2 hours, which suggests that people awaken later on weekends.

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Year:  2011        PMID: 21960633     DOI: 10.1126/science.1202775

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  172 in total

1.  Mining Social Media Data for Biomedical Signals and Health-Related Behavior.

Authors:  Rion Brattig Correia; Ian B Wood; Johan Bollen; Luis M Rocha
Journal:  Annu Rev Biomed Data Sci       Date:  2020-05-04

2.  Antepartum depression severity is increased during seasonally longer nights: relationship to melatonin and cortisol timing and quantity.

Authors:  Charles J Meliska; Luis F Martínez; Ana M López; Diane L Sorenson; Sara Nowakowski; Daniel F Kripke; Jeffrey Elliott; Barbara L Parry
Journal:  Chronobiol Int       Date:  2013-09-03       Impact factor: 2.877

3.  The Association Between Sexual Behavior and Affect: Moderating Factors in Young Women.

Authors:  Rose Wesche; Jennifer L Walsh; Robyn L Shepardson; Kate B Carey; Michael P Carey
Journal:  J Sex Res       Date:  2018-12-03

4.  Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides.

Authors:  Mrinal Kumar; Mark Dredze; Glen Coppersmith; Munmun De Choudhury
Journal:  HT ACM Conf Hypertext Soc Media       Date:  2015-09

5.  Twitter, time and emotions.

Authors:  Eric Mayor; Lucas M Bietti
Journal:  R Soc Open Sci       Date:  2021-05-26       Impact factor: 2.963

6.  Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions.

Authors:  Justin Cheng; Michael Bernstein; Cristian Danescu-Niculescu-Mizil; Jure Leskovec
Journal:  CSCW Conf Comput Support Coop Work       Date:  2017 Feb-Mar

7.  Promises and Pitfalls of Using Digital Traces for Demographic Research.

Authors:  Nina Cesare; Hedwig Lee; Tyler McCormick; Emma Spiro; Emilio Zagheni
Journal:  Demography       Date:  2018-10

8.  Hedonism and the choice of everyday activities.

Authors:  Maxime Taquet; Jordi Quoidbach; Yves-Alexandre de Montjoye; Martin Desseilles; James J Gross
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-15       Impact factor: 11.205

9.  The Language of LGBTQ+ Minority Stress Experiences on Social Media.

Authors:  Koustuv Saha; Sang Chan Kim; Manikanta D Reddy; Albert J Carter; Eva Sharma; Oliver L Haimson; Munmun DE Choudhury
Journal:  Proc ACM Hum Comput Interact       Date:  2019-11

10.  Emotional Feedback and the Viral Spread of Social Media Messages About Autism Spectrum Disorders.

Authors:  Christopher A Bail
Journal:  Am J Public Health       Date:  2016-05-19       Impact factor: 9.308

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