Results 121 to 130 of about 1,347,435 (158)

NLAS-multi: A multilingual corpus of automatically generated Natural Language Argumentation Schemes. [PDF]

Data Brief
Ruiz-Dolz R, Taverner J, Lawrence J, Reed C.   +3 more
europepmc   +1 more source

Straw man i ad hominem argumentacijske pogreške u oglašavanju prehrambenih industrija

Ovaj diplomski rad bavi se istraživanjem argumentacijskih pogrešaka ad hominem i straw man u reklamama dvaju vodećih svjetskih lanaca brze prehrane McDonald'sa i Burger Kinga.
Jelić, Petra
core  

Inoculation reduces social media engagement with affectively polarized content in the UK and US. [PDF]

Commun Psychol
Smith F, Simchon A, Holford D, Lewandowsky S.   +3 more
europepmc   +1 more source

Testing the impact of fallacies and contrarian claims in climate change misinformation. [PDF]

Br J Psychol
Lieu R, Hayes OR, Cook J.
europepmc   +1 more source

Analyzing the persuasion mechanism of AI-generated rumors via the elaboration likelihood model. [PDF]

Front Psychol
Hou Z.
europepmc   +1 more source

Ad-based social media interventions increase belief accuracy and generate pro-social opinions among non-news readers. [PDF]

PLoS One
Wertz E, Babińska M, Batorski D, Louison-Lavoy D, Blazer N, Noble NS, Wojcieszak M.   +6 more
europepmc   +1 more source

Susceptibility to poor arguments: The interplay of cognitive sophistication and attitudes. [PDF]

Mem Cognit
Marin PM, Lindeman M, Svedholm-Häkkinen AM.   +2 more
europepmc   +1 more source

Language model estimates indicate increased outgroup animosity among a sample of politicians, journalists, and partisan users on Twitter and Reddit. [PDF]

Sci Rep
Fulay S, Roy D.
europepmc   +1 more source

Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study. [PDF]

J Med Internet Res
Rodriguez VJ, Peterson B, Benhayoun A, Liu Q.   +3 more
europepmc   +1 more source