Advancing Typology of Computer-Supported Influence: Moderation Effects in Socially Influencing Systems
Agnis Stibe
- 03 Jun 2015
- pp 253-264
TL;DR: The study provides sharper conceptual representation of key terms in persuasive engineering, drafts a structured approach for better understanding of the influence typology, and presents how computers can be moderators of social influence.
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Abstract: Persuasive technologies are commonly engineered to change behavior and attitudes of users through persuasion and social influence without using coercion and deception. While earlier research has been extensively focused on exploring the concept of persuasion, the present theory-refining study aims to explain the role of social influence and its distinctive characteristics in the field of persuasive technology. Based on a list of notable differences, this study outlines how both persuasion and social influence can be best supported through computing systems and introduces a notion of computer-moderated influence, thus extending the influence typology. The novel type of influence tends to be more salient for socially influencing systems, which informs designers to be mindful when engineering such technologies. The study provides sharper conceptual representation of key terms in persuasive engineering, drafts a structured approach for better understanding of the influence typology, and presents how computers can be moderators of social influence.
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Citations
Using the elaboration likelihood model to examine online persuasion through website design
TL;DR: The Elaboration Likelihood Model is used to determine the effects of argument quality as a central route to influence attitude change versus design and social elements as peripheral routes to attitude change.
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Persuasive Backfiring: When Behavior Change Interventions Trigger Unintended Negative Outcomes
Agnis Stibe,Brian Cugelman +1 more
- 05 Apr 2016
TL;DR: This paper provides tools to aid academics in the study of persuasive backfiring, presents a taxonomy of backf firing causes, and provides an analytical framework containing the intention-outcome and likelihood-severity matrices.
Towards a Framework for Socially Influencing Systems: Meta-analysis of Four PLS-SEM Based Studies
Agnis Stibe
- 03 Jun 2015
TL;DR: Four partial least squares structural equation modeling (PLS-SEM) based empirical studies are analyzed to examine the interconnectedness of their social influence aspects and can deepen understanding of how to effectively harness social influence for enhanced user engagement in socio-technical environments.
Polarised social media discourse during COVID-19 pandemic: evidence from YouTube
TL;DR: In this paper , a random network theory-based simulation was used to investigate the evolution of opinion formation in comments posted on different COVID-19-related YouTube videos and found that as the pandemic unfolded, the extent of polarisation in online discourse increased with time.
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Don’t be afraid! Persuasive Practices in the Wild
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- 13 Jun 2018
TL;DR: The paper shows the persuasive practices emerging through appropriation of the system, the tensions that govern the adoption or transformation of specific practices and routines and it confirms that studying the use and appropriation of technology uncovers organizational conflicts and tensions affecting such fundamental aspects as the advisor’s role and job description.
References
Computer-mediated persuasion in online reviews: Statistical versus narrative evidence
Seoyeon Hong,Hee Sun Park +1 more
TL;DR: It was found that the vividness and valence of each review type had varying effects on review credibility and attitudes about the product, and the credibility of positive statistical reviews did not differ from that of positive narrative reviews.
Social Influence Online: The Impact of Social Validation and Likability on Compliance
TL;DR: In this paper, the authors examined whether the social influence principles of likability and social validation impacted individuals' willingness to comply with a request when the setting is online, and they found that social validation affected compliance, but communicator likability did not.
•Book
Communication and persuasion
Carl I. Hovland,Irving L. Janis,Harold H. Kelley +2 more
- 01 Jan 1953