Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework

The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3...

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Autores principales:	Chenyan Jia, Ruibo Liu
Formato:	article
Lenguaje:	EN
Publicado:	Cogitatio 2021
Materias:	algorithms automated journalism computational method hostile media effect source credibility Communication. Mass media P87-96
Acceso en línea:	https://doaj.org/article/26902e4c2b504204acf9f462e51f110b
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spelling	oai:doaj.org-article:26902e4c2b504204acf9f462e51f110b2021-11-18T11:14:12ZAlgorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework2183-243910.17645/mac.v9i4.4164https://doaj.org/article/26902e4c2b504204acf9f462e51f110b2021-11-01T00:00:00Zhttps://www.cogitatiopress.com/mediaandcommunication/article/view/4164https://doaj.org/toc/2183-2439The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3 (author attribution: human, algorithm, or human-assisted algorithm) x 3 (news attitude: pro-issue, neutral, or anti-issue) mixed factorial design online experiment (N = 511). This study uses a transformer-based adversarial network to auto-generate comparable news headlines. The framework was trained with a dataset of 364,986 news stories from 22 mainstream media outlets. The results show that the relative hostile media effect occurs when people read news headlines attributed to all types of authors. News attributed to a sole human source is perceived as more credible than news attributed to two algorithm-related sources. For anti-Trump news headlines, there exists an interaction effect between author attribution and issue partisanship while controlling for people’s prior belief in machine heuristics. The difference of hostile media perceptions between the two partisan groups was relatively larger in anti-Trump news headlines compared with pro-Trump news headlines.Chenyan JiaRuibo LiuCogitatioarticlealgorithmsautomated journalismcomputational methodhostile media effectsource credibilityCommunication. Mass mediaP87-96ENMedia and Communication, Vol 9, Iss 4, Pp 170-181 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	algorithms automated journalism computational method hostile media effect source credibility Communication. Mass media P87-96
spellingShingle	algorithms automated journalism computational method hostile media effect source credibility Communication. Mass media P87-96 Chenyan Jia Ruibo Liu Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
description	The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3 (author attribution: human, algorithm, or human-assisted algorithm) x 3 (news attitude: pro-issue, neutral, or anti-issue) mixed factorial design online experiment (N = 511). This study uses a transformer-based adversarial network to auto-generate comparable news headlines. The framework was trained with a dataset of 364,986 news stories from 22 mainstream media outlets. The results show that the relative hostile media effect occurs when people read news headlines attributed to all types of authors. News attributed to a sole human source is perceived as more credible than news attributed to two algorithm-related sources. For anti-Trump news headlines, there exists an interaction effect between author attribution and issue partisanship while controlling for people’s prior belief in machine heuristics. The difference of hostile media perceptions between the two partisan groups was relatively larger in anti-Trump news headlines compared with pro-Trump news headlines.
format	article
author	Chenyan Jia Ruibo Liu
author_facet	Chenyan Jia Ruibo Liu
author_sort	Chenyan Jia
title	Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
title_short	Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
title_full	Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
title_fullStr	Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
title_full_unstemmed	Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework
title_sort	algorithmic or human source? examining relative hostile media effect with a transformer-based framework
publisher	Cogitatio
publishDate	2021
url	https://doaj.org/article/26902e4c2b504204acf9f462e51f110b
work_keys_str_mv	AT chenyanjia algorithmicorhumansourceexaminingrelativehostilemediaeffectwithatransformerbasedframework AT ruiboliu algorithmicorhumansourceexaminingrelativehostilemediaeffectwithatransformerbasedframework
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Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework

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