Social Media Memory of January 6: Content Analysis of Twitter One Year Later

被引:0
|
作者
Martell, Allan [1 ]
Goryl, Sasha [1 ]
Sai, Nannapaneni [1 ]
机构
[1] Indiana University, United States
关键词
Tweets;
D O I
10.1002/pra2.1024
中图分类号
学科分类号
摘要
We report on the results of a content analysis of a random sample of tweets (n = 16, 480) about the January 6th insurrection published one year after the attacks. Drawing from research on social media memory, far-right activism, and social memories in times of crises, we performed a deductive manual coding of the tweets. We found that roughly four of every ten Twitter users remembered the U.S. Capitol attack as an insurrection. Importantly, though, the insurrection frame was adopted by users who were in favor and against the attack. The other most frequent frames were censorship, used by people who aimed to discredit the idea that there had been an insurrection; treason, used by people across the political spectrum to claim that the other side had betrayed the United States; fear of other, employed by users who blamed the others for the insurrection and its aftermath; and accountability, used by people against the insurrection to call for the attackers to face justice and its leaders to be barred from holding public office. We also noticed that the different frames were not exclusive. Those who used the term insurrection frequently used others such as accountability, censorship, treason, terrorism, and conspiracy. 87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.
引用
收藏
页码:246 / 256
相关论文
共 50 条
  • [1] Contraceptive content shared on social media: an analysis of Twitter
    Huang, Melody
    Gutierrez-Sacristan, Alba
    Janiak, Elizabeth
    Young, Katherine
    Starosta, Anabel
    Blanton, Katherine
    Azhir, Alaleh
    Goldfarb, Caroline N.
    Kuperwasser, Felicita
    Schaefer, Kimberly M.
    Stoddard, Rachel E.
    Vatsa, Rajet
    Merz-Herrala, Allison A.
    Bartz, Deborah
    CONTRACEPTION AND REPRODUCTIVE MEDICINE, 2024, 9 (01)
  • [2] Contraceptive content shared on social media: an analysis of Twitter
    Melody Huang
    Alba Gutiérrez-Sacristán
    Elizabeth Janiak
    Katherine Young
    Anabel Starosta
    Katherine Blanton
    Alaleh Azhir
    Caroline N. Goldfarb
    Felícita Kuperwasser
    Kimberly M. Schaefer
    Rachel E. Stoddard
    Rajet Vatsa
    Allison A. Merz-Herrala
    Deborah Bartz
    Contraception and Reproductive Medicine, 9
  • [3] Manifestations of Depression on Social Media: a Content Analysis of Twitter Posts
    Tambling R.R.
    D’Aniello - Heyda C.
    Hynes K.C.
    Journal of Technology in Behavioral Science, 2024, 9 (2) : 252 - 261
  • [4] Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
    Gabarron, Elia
    Dechsling, Anders
    Skafle, Ingjerd
    Nordahl-Hansen, Anders
    JMIR FORMATIVE RESEARCH, 2022, 6 (03)
  • [5] Twitter, Telepractice, and the COVID-19 Pandemic: A Social Media Content Analysis
    Weidner, Kristen
    Lowman, Joneen
    Fleischer, Anne
    Kosik, Kyle
    Goodbread, Peyton
    Chen, Benjamin
    Kavuluru, Ramakanth
    AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY, 2021, 30 (06) : 2561 - 2571
  • [6] Social Media Usage of GSM Operators in Turkey: A Content Analysis of Twitter Use
    Eginli, Aysen Temel
    Ozdem, Ozen Okat
    Aktuglu, Isil Karpat
    SOCIAL MEDIA: THE GOOD, THE BAD, AND THE UGLY, 2016, 9844 : 251 - 260
  • [7] Historicizing New Media: A Content Analysis of Twitter
    Humphreys, Lee
    Gill, Phillipa
    Krishnamurthy, Balachander
    Newbury, Elizabeth
    JOURNAL OF COMMUNICATION, 2013, 63 (03) : 413 - 431
  • [8] Social media campaigns on disability awareness: A content analysis of official government Twitter accounts
    Santoso, Anang D.
    LIFE SPAN AND DISABILITY, 2019, 22 (01) : 95 - 112
  • [9] Understanding the Consumption of Antimicrobial Resistance-Related Content on Social Media: Twitter Analysis
    Kim, Hyunuk
    Proctor, Chris R.
    Walker, Dylan
    McCarthy, Ronan R.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [10] Social media content analysis on twitter to explore public perceptions regarding pathological social withdrawal (hikikomori)
    Pereira-Sanchez, V.
    Alvarez-Mon, M.
    EUROPEAN PSYCHIATRY, 2021, 64 : S58 - S58