Results 311 to 320 of about 446,832 (335)
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A Review and Conceptual Framework for Understanding Personalized Matching Effects in Persuasion
Journal of Consumer Psychology, 2020One of the most reliable and impactful methods for enhancing a persuasive appeal is to match an aspect of the proposal (i.e., its content, source, or the setting in which it is delivered) to an aspect of the consumer receiving it.
Jacob D. Teeny +3 more
semanticscholar +1 more source
Annual Meeting of the Association for Computational Linguistics
Most traditional AI safety research has approached AI models as machines and centered on algorithm-focused attacks developed by security experts. As large language models (LLMs) become increasingly common and competent, non-expert users can also impose ...
Yi Zeng +5 more
semanticscholar +1 more source
Most traditional AI safety research has approached AI models as machines and centered on algorithm-focused attacks developed by security experts. As large language models (LLMs) become increasingly common and competent, non-expert users can also impose ...
Yi Zeng +5 more
semanticscholar +1 more source
Artificial Intelligence and Persuasion: A Construal-Level Account
Psychology Science, 2020Although more individuals are relying on information provided by nonhuman agents, such as artificial intelligence and robots, little research has examined how persuasion attempts made by nonhuman agents might differ from persuasion attempts made by human
Tae Woo Kim, Adam Duhachek
semanticscholar +1 more source
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
International Workshop on Semantic EvaluationThe automatic identification of misleading and persuasive content has emerged as a significant issue among various stakeholders, including social media platforms, policymakers, and the broader society. To tackle this issue within the context of memes, we
Dimitar I. Dimitrov +6 more
semanticscholar +1 more source
International Journal of Advertising, 2020
This study examines the relationship between persuasion knowledge and personalized advertising-related outcomes, such as ad avoidance and attitudes toward personalized advertising.
Mariko Morimoto
semanticscholar +1 more source
This study examines the relationship between persuasion knowledge and personalized advertising-related outcomes, such as ad avoidance and attitudes toward personalized advertising.
Mariko Morimoto
semanticscholar +1 more source
Journal of Economics Theory, 2019
We consider a multi-receiver Bayesian persuasion problem where an informed sender tries to persuade a group of receivers to adopt a certain product. The sender is allowed to commit to a signaling policy where she sends a private signal to every receiver.
Itai Arieli, Y. Babichenko
semanticscholar +1 more source
We consider a multi-receiver Bayesian persuasion problem where an informed sender tries to persuade a group of receivers to adopt a certain product. The sender is allowed to commit to a signaling policy where she sends a private signal to every receiver.
Itai Arieli, Y. Babichenko
semanticscholar +1 more source
International Journal of Advertising, 2020
Integrating the persuasion knowledge model (PKM) and privacy calculus model (PCM), this study examines how adolescents’ persuasion knowledge and benefit-risk assessment of social media newsfeed advertising (SMNA) influences their coping responses.
Seounmi Youn, W. Shin
semanticscholar +1 more source
Integrating the persuasion knowledge model (PKM) and privacy calculus model (PCM), this study examines how adolescents’ persuasion knowledge and benefit-risk assessment of social media newsfeed advertising (SMNA) influences their coping responses.
Seounmi Youn, W. Shin
semanticscholar +1 more source
Preparing for the Worst but Hoping for the Best: Robust (Bayesian) Persuasion
Social Science Research Network, 2020We propose a robust solution concept for Bayesian persuasion that accounts for the Sender's concern that her Bayesian belief about the environment—which we call the conjecture—may be false.
Piotr Dworczak, A. Pavan
semanticscholar +1 more source
Journal of Product & Brand Management, 2019
Purpose Drawing on theoretical insights from the persuasion knowledge model (PKM), this study aims to propose and test a model that maps out the antecedents, process and consequences to explain how consumers process and respond to fake news about brands
Z. Chen, Yang Cheng
semanticscholar +1 more source
Purpose Drawing on theoretical insights from the persuasion knowledge model (PKM), this study aims to propose and test a model that maps out the antecedents, process and consequences to explain how consumers process and respond to fake news about brands
Z. Chen, Yang Cheng
semanticscholar +1 more source
How social engineers use persuasion principles during vishing attacks
Information and Computer Security, 2020Purpose This study aims to examine how social engineers use persuasion principles during vishing attacks. Design/methodology/approach In total, 86 examples of real-world vishing attacks were found in articles and videos.
Keith S. Jones +3 more
semanticscholar +1 more source

