Understanding the Public’s Attitudes Toward COVID-19 Vaccines in Nottinghamshire, United Kingdom: Qualitative Social Media Analysis by Leah Ffion Jones, Stefanie Bonfield, Jade Farrell, Dale Weston

“…A manual search strategy was used to search the Nottingham Post website and local Facebook and Twitter accounts from September 2021 to October 2021. Only comments in the public domain and in English were included in the analysis. …”
Get full text

The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding by Loni Hagen, Ashley Fox, Heather O'Leary, DeAndre Dyson, Kimberly Walker, Cecile A Lengacher, Raquel Hernandez

“…A PageRank algorithm was used to quantitively measure the level of “influentialness” of Twitter accounts and identifying the “influencers,” followed by coding them into different actor categories. …”
Get full text

Public perceptions of government policies to COVID-19: A comparative study in six African countries by Yi-jun WANG, Marly Loria DIABAKANGA BATATANA, Maximino Horacio BIKOUMOU GAMBAT

“…We collected 134,494 tweets on Twitter accounts and we evaluated policies by countries in three categories: while some countries implemented too strict policies, others implemented strict or relaxed policies. …”
Get full text

COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies by Goran Muric, Yusong Wu, Emilio Ferrara

“…ObjectiveIn this paper, we describe a data set of Twitter posts and Twitter accounts that publicly exhibit a strong antivaccine stance. …”
Get full text

Variation in academic neurosurgery departments’ #neurosurgery social media influence by Michael B. Cloney, Benjamin Hopkins, Anastasios Roumeliotis, Najib El Tecle, Nader S. Dahdaleh

“…A greater proportion of programs had Twitter accounts (88.9%) than had Instagram (72.2%) or Facebook (51.9%) accounts (p=0.0001). …”
Get full text

Detecting and analyzing bursty events on Twitter by Kung, Pau Perng-Hwa

Get full text

Twitter Analysis of Health Care Workers’ Sentiment and Discourse Regarding Post–COVID-19 Condition in Children and Young People: Mixed Methods Study by Macarena Chepo, Sam Martin, Noémie Déom, Ahmad Firas Khalid, Cecilia Vindrola-Padros

“…Through discourse, keyword, sentiment, and image analyses, using Pulsar and InfraNodus, we analyzed the discourse about the experience of post–COVID-19 condition in children and young people in the United Kingdom shared on Twitter between January 1, 2021, and January 31, 2022, from a sample of HCWs with Twitter accounts whose biography identifies them as HCWs. …”
Get full text

Analytic search methods in online social networks by Marks, Christopher E. (Christopher Edward)

Get full text

China's public diplomacy operations: understanding engagement and inauthentic amplifications of PRC diplomats on Facebook and Twitter by Schliebs, M, Bailey, H, Bright, J, Howard, PN

“…For example, on Twitter only 14% of PRC diplomat Twitter accounts are labeled as government affiliated.</p> <p>The social media accounts of PRC diplomats and statebacked media agencies receive lots of engagement from other users, but a substantial proportion of this engagement is generated by rapid-fire “super-spreader” accounts. …”

Chilling effects in the internet age: three case studies by Penney, JW

“…This DMCA study is carried with a sample of 500 Google Blogs and 500 Twitter accounts and offers insights into how regulatory chilling effects work in practice, along with insights and implications of automated or "robotized" legal enforcement and the DMCA's international impact. …”

The Responses of Healthcare Professionals and the Media to the Emergency Mobile Restriction Policies on Social Media by Gustaf Wijaya, Fakhri Zakaria, Rachmah Ida

“…This study maps and analyzes the narratives of the 10 (ten) doctors’ Twitter accounts in Indonesia during the Emergency Community Activity Restrictions (PPKM) period from 3 July - 23 August 2021 through qualitative content analysis methods. …”
Get full text

Examining the Pro-Eating Disorders Community on Twitter Via the Hashtag #proana: Statistical Modeling Approach by Suku Sukunesan, Minh Huynh, Gemma Sharp

“…ResultsThis study reviewed 11,620 Pro-ED Twitter accounts that posted using the hashtag #proana between September 2015 and July 2018. …”
Get full text

COVID-Washing in US Food and Beverage Marketing on Twitter: Content Analysis by Krystle A Tsai, Omni Cassidy, Josh Arshonsky, Sara Bond, Inés M Del Giudice, Marie A Bragg

“…MethodsResearch assistants visited the Twitter accounts of the most-marketed food and beverage brands, and screen-captured all tweets posted between March 1 and May 31, 2020. …”
Get full text

Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…This study utilizes 18,000 data from verified twitter accounts in Surabaya. Multi-label classification is carried out to identify many traffic situations, such as weather conditions, events, traffic jams, heavy traffic, and smooth traffic. …”
Get full text

Analyzing Political Trends and Discourse on Twitter of Influential Indonesian Accounts by Muzahid Akbar Hayat, Sri Mariati Soraidah, Muhammad Naufal Rofif, Annisa Rira Asriani, Parihin Parihin

“…The research enhances our understanding of the impact of influential Twitter accounts on public opinion and political discourse, providing insights for policymakers, political practitioners, and the public. …”
Get full text

Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework by Andrew Fisher, Matthew Maclaren Young, Doris Payer, Karen Pacheco, Chad Dubeau, Vijay Mago

“…MethodsTo collect data for this study, 145 relevant Twitter accounts throughout Quebec (n=33), Ontario (n=78), and British Columbia (n=34) were manually identified. …”
Get full text

The pattern and use of Twitter among dental schools in Saudi Arabia. by Khalifa S Al-Khalifa, Fatimah N AlMuhammadi, Noor Y AlOraifi, Elaf A Alkuwaiti, Banan A Aladinan, Nada M Alzahrani, Sarah A Khusheim, Mahmoud H Al-Johani

“…<h4>Results</h4>A total of 15 Saudi dental schools with Twitter accounts were included in the analysis. King Saud University (KSU) had the largest number of followers with 17,200. …”
Get full text

PiS vs LGBT: The “Othering” of the LGBT Movement as an Element of Populist Radical Right Party Discourse in Poland by Olena Yermakova

“…This study presents the results of a critical discourse analysis (conducted using Ruth Wodak and Martin Reisigl’s analytical framework) of selected texts and visuals from the party’s official website and from Twitter accounts of its prominent members. I analysed how the party representatives “other” LGBT Poles using discursive means, and how they frame homophobia within their broader populist discourse and instrumentalise it for political gains. …”
Get full text

Wi-fi in warzones: how do armed organizations capture the information advantage? by Courchesne, L

“…Finally, Paper 3 (Twitter and the Taliban: Patterns, Paradoxes, and the Power of Platforms) engages in an in-depth analysis of a novel dataset of 112,354 tweets from 63 Taliban-linked Twitter accounts. It reviews the Taliban’s social media presence throughout the group’s 2021 takeover of Afghanistan, comparing online activity with on-the-ground events and highlighting the use of platform features to amplify their influence campaign.…”

Overview and characterization of penile cancer content across social media platforms by Ruben Alejandro Ortiz-Guerra, Salvador Jaime-Casas, Bertha Alejandra Martinez-Cannon, Jose C. Ariza-Avila, Ana P. González-Morales, Andrea Bardan-Duarte, Yuly A. Remolina-Bonilla, Philippe E. Spiess, Maria T. Bourlon

“…Descriptive statistics were used for posts characterization, Pearson´s correlation coefficient for associations, and Cohen’s weighted kappa coefficient for inter-rater agreement rate.ResultsA total of 791 posts were analyzed, with Twitter accounting for 52%, Facebook for 12.2%, and Instagram for 35.5%, and. …”
Get full text