Do Retweets Undermine Twitter Mentions of Journal Articles as Indicators of Research Significance?

This study aims to investigate whether the prevalence of retweets challenges the validity of Twitter mentions (tweet counts and tweeter counts) as indicators of research significance. The study first examines whether the tweeting of research papers signifies either the wisdom of crowd effect or herd-like behavior for a dataset of COVID-19 papers from The Lancet. The study then uses the Modality, Agency, Interactivity, and Navigability (MAIN) model to examine the nature of the influence involved in retweeting. The Mann-Whitney U test and multiple linear regression were used. Findings show that there was extensive evidence of herd-like behaviour, rather than the wisdom of crowd effect, in tweeting research papers, challenging the validity of Twitter mentions as indicators of research significance. Credibility heuristic cues of the original tweeters were associated with their retweet rates, suggesting that retweets are more likely influenced by perceptions of the original tweeter’s credibility rather than the quality of research papers.

Publication Details

Journal
DR-NTU (Nanyang Technological University)
Published
2025-01-01
DOI
https://doi.org/10.1633/jistap.2025.13.1.1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Retweets Undermine Twitter Mentions of Journal Articles as Indicators of Research Significance?

DR-NTU (Nanyang Technological University)
Misinformation and Its Impacts
article

Do Retweets Undermine Twitter Mentions of Journal Articles as Indicators of Research Significance?

article en

Abstract

This study aims to investigate whether the prevalence of retweets challenges the validity of Twitter mentions (tweet counts and tweeter counts) as indicators of research significance. The study first examines whether the tweeting of research papers signifies either the wisdom of crowd effect or herd-like behavior for a dataset of COVID-19 papers from The Lancet. The study then uses the Modality, Agency, Interactivity, and Navigability (MAIN) model to examine the nature of the influence involved in retweeting. The Mann-Whitney U test and multiple linear regression were used. Findings show that there was extensive evidence of herd-like behaviour, rather than the wisdom of crowd effect, in tweeting research papers, challenging the validity of Twitter mentions as indicators of research significance. Credibility heuristic cues of the original tweeters were associated with their retweet rates, suggesting that retweets are more likely influenced by perceptions of the original tweeter’s credibility rather than the quality of research papers.

DR-NTU (Nanyang Technological University)
Openalex Percentile: Top 42%
Misinformation and Its Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.