Literature DB >> 29033471

Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.

Tyler H McCormick1,2,3,4, Hedwig Lee1,4, Nina Cesare1, Ali Shojaie2,3,5, Emma S Spiro1,3,6.   

Abstract

Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users-a key component of much social science research-remains a challenge. This article develops an accurate and reliable data processing approach for social science researchers interested in using Twitter data to examine behaviors and attitudes, as well as the demographic characteristics of the populations expressing or engaging in them. Using information gathered from Twitter users who state an intention to not vote in the 2012 presidential election, we describe and evaluate a method for processing data to retrieve demographic information reported by users that is not encoded as text (e.g., details of images) and evaluate the reliability of these techniques. We end by assessing the challenges of this data collection strategy and discussing how large-scale social media data may benefit demographic researchers.

Entities:  

Keywords:  Twitter; attitudes; data collection; demographics; population

Year:  2015        PMID: 29033471      PMCID: PMC5639727          DOI: 10.1177/0049124115605339

Source DB:  PubMed          Journal:  Sociol Methods Res        ISSN: 0049-1241


  14 in total

1.  Friend networking sites and their relationship to adolescents' well-being and social self-esteem.

Authors:  Patti M Valkenburg; Jochen Peter; Alexander P Schouten
Journal:  Cyberpsychol Behav       Date:  2006-10

2.  Investigating the use of social media to help women from going back to smoking post-partum.

Authors:  John B Lowe; Margaret Barnes; Cynthia Teo; Stephanie Sutherns
Journal:  Aust N Z J Public Health       Date:  2012-02       Impact factor: 2.939

3.  Mining twitter: a source for psychological wisdom of the crowds.

Authors:  Ulf-Dietrich Reips; Pablo Garaizar
Journal:  Behav Res Methods       Date:  2011-09

4.  Public health surveillance of dental pain via Twitter.

Authors:  N Heaivilin; B Gerbert; J E Page; J L Gibbs
Journal:  J Dent Res       Date:  2011-07-18       Impact factor: 6.116

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

Authors:  Scott A Golder; Michael W Macy
Journal:  Science       Date:  2011-09-30       Impact factor: 47.728

6.  College students' alcohol displays on Facebook: intervention considerations.

Authors:  Megan A Moreno; Allison Grant; Lauren Kacvinsky; Katie G Egan; Michael F Fleming
Journal:  J Am Coll Health       Date:  2012

7.  Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Authors:  Michael Buhrmester; Tracy Kwang; Samuel D Gosling
Journal:  Perspect Psychol Sci       Date:  2011-02-03

8.  The viability of crowdsourcing for survey research.

Authors:  Tara S Behrend; David J Sharek; Adam W Meade; Eric N Wiebe
Journal:  Behav Res Methods       Date:  2011-09

9.  The cultural grounding of personal relationship: the importance of attractiveness in everyday life.

Authors:  Stephanie L Anderson; Glenn Adams; Victoria C Plaut
Journal:  J Pers Soc Psychol       Date:  2008-08

10.  Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions.

Authors:  Christopher A Cassa; Rumi Chunara; Kenneth Mandl; John S Brownstein
Journal:  PLoS Curr       Date:  2013-07-02
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  20 in total

1.  Assessing mental health signals among sexual and gender minorities using Twitter data.

Authors:  Yunpeng Zhao; Yi Guo; Xing He; Yonghui Wu; Xi Yang; Mattia Prosperi; Yanghua Jin; Jiang Bian
Journal:  Health Informatics J       Date:  2019-04-10       Impact factor: 2.681

2.  Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media.

Authors:  Yulin Hswen; John A Naslund; John S Brownstein; Jared B Hawkins
Journal:  Psychiatr Q       Date:  2018-09

3.  Indices of non-ignorable selection bias for proportions estimated from non-probability samples.

Authors:  Rebecca R Andridge; Brady T West; Roderick J A Little; Philip S Boonstra; Fernanda Alvarado-Leiton
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2019-08-02       Impact factor: 1.864

4.  GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data.

Authors:  Shuai Zhou; Yanling Li; Guangqing Chi; Junjun Yin; Zita Oravecz; Yosef Bodovski; Naomi P Friedman; Scott I Vrieze; Sy-Miin Chow
Journal:  J Behav Data Sci       Date:  2021-11-08

5.  "It's a stomachache filled with stress": Tracing the Uneven Spillover Effects of Racialized Police Violence Using Twitter Data.

Authors:  Hajar Yazdiha; Courtney Boen
Journal:  Currents (Ann Arbor)       Date:  2022-02-18

6.  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

7.  Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns.

Authors:  Eugene Leypunskiy; Emre Kıcıman; Mili Shah; Olivia J Walch; Andrey Rzhetsky; Aaron R Dinner; Michael J Rust
Journal:  Curr Biol       Date:  2018-11-15       Impact factor: 10.834

8.  #drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults.

Authors:  Dana M Litt; Melissa A Lewis; Emma S Spiro; Lovenoor Aulck; Katja A Waldron; Maya K Head-Corliss; Alex Swanson
Journal:  Drug Alcohol Depend       Date:  2018-10-04       Impact factor: 4.492

Review 9.  Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review.

Authors:  Su Golder; Robin Stevens; Karen O'Connor; Richard James; Graciela Gonzalez-Hernandez
Journal:  J Med Internet Res       Date:  2022-04-29       Impact factor: 7.076

10.  Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers.

Authors:  Karla Dhungana Sainju; Akosua Kuffour; Lisa Young; Niti Mishra
Journal:  Int J Bullying Prev       Date:  2021-06-07
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