# Exploring the Ideological Nature of Journalists' Social Networks on Twitter and Associations with News Story Content

arXiv: https://arxiv.org/abs/1708.06727 · HTML: https://mlsanity.com/paper/1708.06727/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Aug 2017.

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

- ["TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendation](https://mlsanity.com/paper/2104.00782/) (2021)

## Abstract (arXiv)

The present work proposes the use of social media as a tool for better understanding the relationship between a journalists' social network and the content they produce. Specifically, we ask: what is the relationship between the ideological leaning of a journalist's social network on Twitter and the news content he or she produces? Using a novel dataset linking over 500,000 news articles produced by 1,000 journalists at 25 different news outlets, we show a modest correlation between the ideologies of who a journalist follows on Twitter and the content he or she produces. This research can provide the basis for greater self-reflection among media members about how they source their stories and how their own practice may be colored by their online networks. For researchers, the findings furnish a novel and important step in better understanding the construction of media stories and the mechanics of how ideology can play a role in shaping public information.