# Automated identification of bias inducing words in news articles using linguistic and context-oriented features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-identification-of-bias-inducing-words-in-news-articles-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Timo Spinde,Lada Rudnitckaia,Jelena Mitrović,Felix Hamborg,Michael Granitzer,Béla Gipp,Karsten Donnay |
| Citations | 76 |
| DOI | 10.1016/j.ipm.2021.102505 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0306457321000157/pdf |
| OpenAlex ID | https://openalex.org/W3130090378 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Timo Spinde](https://scholariq.org/researchers/timo-spinde/)

## Paper journal

- [Information Processing & Management](https://scholariq.org/journals/information-processing-and-management/)

## Paper primary topic

- [Media Influence and Politics](https://scholariq.org/topics/media-influence-and-politics/)

## Paper topics

- [Media Influence and Politics](https://scholariq.org/topics/media-influence-and-politics/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.