Resources (Publications below)
Most recent models & datasets are published on Huggingface
[Code, GitHub] SciDef: Automated Definition Extraction from Scientific Literature
[Dataset, Huggingface] DefSim – Dataset for Benchmarking Similarity Metrics in Scientific Context
[Dataset, Huggingface] DefExtra – Dataset for Benchmarking Definition Extraction from Scientific Papers
[Benchmark, GitHub] MBIB – the first Media Bias Identification Benchmark Task and Dataset Collection
[Dataset, Huggingface] Anno-lexical (Lexical bias)
[Dataset, GitHub] BABE – Bias Annotations By Experts
[Dataset, Paper] BAT – Bias And Twitter
[Scale/Questionnaire to measure bias perception] Do You Think It’s Biased? How To Ask For The Perception Of Media Bias (A set of tested questions to assess media bias perception to be used in any bias-related research)
[Dataset, Zenodo] MBIC -A Media Bias Annotation Dataset Including Annotator Characteristics
Publications
2020
Garz, Marcel; Sörensen, Jil; Stone, Daniel F.
Partisan selective engagement: Evidence from Facebook Journal Article
In: Journal of Economic Behavior & Organization, vol. 177, pp. 91-108, 2020, ISSN: 0167-2681.
Abstract | Links | BibTeX | Tags: Filter bubble, media bias, Polarization, Political immunity, Social media
@article{GARZ202091,
title = {Partisan selective engagement: Evidence from Facebook},
author = {Marcel Garz and Jil Sörensen and Daniel F. Stone},
url = {https://www.sciencedirect.com/science/article/pii/S0167268120302079},
doi = {https://doi.org/10.1016/j.jebo.2020.06.016},
issn = {0167-2681},
year = {2020},
date = {2020-01-01},
journal = {Journal of Economic Behavior & Organization},
volume = {177},
pages = {91-108},
abstract = {This study investigates the effects of variation in “congeniality” of news on Facebook user engagement (likes, shares, and comments). We compile an original data set of Facebook posts by 84 German news outlets on politicians that were investigated for criminal offenses from January 2012 to June 2017. We also construct an index of each outlet's media slant by comparing the language of the outlet with that of the main political parties, which allows us to measure the congeniality of the posts. We find that user engagement with congenial posts is higher than with uncongenial ones, especially in terms of likes. The within-outlet, within-topic design allows us to infer that the greater engagement with congenial news is likely driven by psychological and social factors, rather than a desire for accurate or otherwise instrumental information.},
keywords = {Filter bubble, media bias, Polarization, Political immunity, Social media},
pubstate = {published},
tppubtype = {article}
}
Garz, Marcel; Sood, Gaurav; Stone, Daniel F.; Wallace, Justin
The supply of media slant across outlets and demand for slant within outlets: Evidence from US presidential campaign news Journal Article
In: European Journal of Political Economy, vol. 63, pp. 101877, 2020, ISSN: 0176-2680.
Abstract | Links | BibTeX | Tags: Horse race news, media bias, Media slant, Motivated beliefs, Polarization, Selective exposure
@article{GARZ2020101877,
title = {The supply of media slant across outlets and demand for slant within outlets: Evidence from US presidential campaign news},
author = {Marcel Garz and Gaurav Sood and Daniel F. Stone and Justin Wallace},
url = {https://www.sciencedirect.com/science/article/pii/S0176268020300252},
doi = {https://doi.org/10.1016/j.ejpoleco.2020.101877},
issn = {0176-2680},
year = {2020},
date = {2020-01-01},
journal = {European Journal of Political Economy},
volume = {63},
pages = {101877},
abstract = {We conduct across-outlet and within-outlet (and within-topic) analyses of “congenially” slanted news. We study “horse race” news (news on candidates' chances in an upcoming election) from six major online outlets for the 2012 and 2016 US presidential campaigns. We find robust evidence that horse race headlines were slanted congenially with respect to the preferences of the outlets' typical readers. However, evidence of congenial slant in the timing and frequency of horse race stories is weaker. We also find limited evidence of greater within-outlet demand for headlines most congenial to outlets' typical readers, and somewhat stronger evidence of greater demand for relatively uncongenial headlines. We discuss how various aspects of our results are consistent with each of the major mechanisms driving slant studied in the theoretical literature, and may help explain when each mechanism is more likely to come into play. In particular, readers may be more likely to click on uncongenial headlines due to inferring that these stories are particularly informative when they stand in contrast to an outlet's typically congenial slant.},
keywords = {Horse race news, media bias, Media slant, Motivated beliefs, Polarization, Selective exposure},
pubstate = {published},
tppubtype = {article}
}
