# Allegation of scientific misconduct increases Twitter attention

arXiv: https://arxiv.org/abs/1802.00606 · HTML: https://mlsanity.com/paper/1802.00606/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Feb 2018.

## Built on by (most cited first, 1 of 1)

- [Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models](https://mlsanity.com/paper/2403.16851/) (2024)

## Abstract (arXiv)

The web-based microblogging system Twitter is a very popular altmetrics source for measuring the broader impact of science. In this case study, we demonstrate how problematic the use of Twitter data for research evaluation can be, even though the aspiration of measurement is degraded from impact to attention measurement. We collected the Twitter data for the paper published by Yamamizu et al. (2017). An investigative committee found that the main figures in the paper are fraudulent.