scholarly journals Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis

2019 ◽  
Vol 51 (4) ◽  
pp. 1766-1781 ◽  
Author(s):  
Matthew Andreotta ◽  
Robertus Nugroho ◽  
Mark J. Hurlstone ◽  
Fabio Boschetti ◽  
Simon Farrell ◽  
...  
2022 ◽  
pp. 216770262110626
Author(s):  
Tal Yatziv ◽  
Almog Simchon ◽  
Nicholas Manco ◽  
Michael Gilead ◽  
Helena J. V. Rutherford

The COVID-19 pandemic has been a demanding caregiving context for parents, particularly during lockdowns. In this study, we examined parental mentalization, parents’ proclivity to consider their own and their child’s mental states, during the pandemic, as manifested in mental-state language (MSL) on parenting social media. Parenting-related posts on Reddit from two time periods in the pandemic in 2020, March to April (lockdown) and July to August (postlockdown), were compared with time-matched control periods in 2019. MSL and self–other references were measured using text-analysis methods. Parental mentalization content decreased during the pandemic: Posts referred less to mental activities and to other people during the COVID-19 pandemic and showed decreased affective MSL, cognitive MSL, and self-references specifically during lockdown. Father-specific subreddits exhibited strongest declines in mentalization content, whereas mother-specific subreddits exhibited smaller changes. Implications on understanding associations between caregiving contexts and parental mentalization, gender differences, and the value of using social-media data to study parenting and mentalizing are discussed.


Drug Safety ◽  
2021 ◽  
Vol 44 (5) ◽  
pp. 553-564 ◽  
Author(s):  
Alexander Bulcock ◽  
Lamiece Hassan ◽  
Sally Giles ◽  
Caroline Sanders ◽  
Goran Nenadic ◽  
...  

2021 ◽  
pp. 146144482110206
Author(s):  
Fenwick McKelvey ◽  
Scott DeJong ◽  
Janna Frenzel

Our article analyses partisan, user-generated Facebook pages and groups to understand the articulation of political identity and party identification. Adapting the concept of scenes usually found in music studies, these Facebook pages and groups act as partisan scenes that maintain identities and sentiments through participatory practices, principally by making and sharing memes. Using a mixed methods approach that combines social media data and interviews during the 2019 Canadian federal election, we find that these partisan scenes are an active part of elections and the overall political information cycle in Canada but endure beyond election cycles. Rather than trying to sway voters of different political affiliation and influence the election outcome, Facebook users employ memes to hang-out and build community, thereby reinforcing partisanship.


2014 ◽  
Author(s):  
Kathleen M. Carley ◽  
L. R. Carley ◽  
Jonathan Storrick

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