Affective Politics and Technology Buy-In: A Framework of Social, Political, and Fantasmatic Logics

Abstract

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Applying Framing Theory in Digital Transformation Research: Suggestions for Future Research

“…For example, they can choose to appeal to others' cultural values in seeking to mobilize others [52]. They can also include affectivelyladen discourse (i.e., appeal to ideology), where actors seek to appeal to the identification and belonging needs of individuals; in this paper, reframing a game engine as an alternative to other proprietary game engines by using notions such as democratization, citizenship, and heroism in rhetorical acts, as a way to exploit others' vulnerabilities from the authors' critical stance [37]. Rhetorical acts are situational, as choices in what rhetorical acts to use may need to be reconsidered throughout the framing process to achieve a particular goal.…”

Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street

“…Instead, successful persuasive campaigns rely on emotionally charged language and enlightening information (Chen et al 2019). Furthermore, in another case study on textual conversations of CEOs and businesses, individuals process information from the peripheral route of the ELM would do so based on one of four appeals channels (social, ethical, political, and ideological) (Pignot, Nicolini, and Thompson 2020). However, much of the current research on human persuasion tend to rely on subject survey's asking the individual if the individual were persuaded (Yi et al 2019), at the aggregate (Chen et al 2019;Wang et al 2021a), or attempt to model receptiveness to phrasing (Pignot, Nicolini, and Thompson 2020).…”

“…research in online marketing focuses on measuring persuasiveness of an argument using self-reported surveys (Caldas et al 2019;Gerlach, Buxmann, and Dinev 2019), or by quantifying how responsive individuals are to tailored arguments in an online survey (Axt, Landau, and Kay 2020;Ormond, Warkentin, and Crossler 2019;Wang et al 2021b). While there have been recent advances in understanding persuasion and attitudes towards products and marketing campaigns (Wang et al 2021a;Pignot, Nicolini, and Thompson 2020)), the studies are not entirely practical (e.g., using executive messaging for interviews (Pignot, Nicolini, and Thompson 2020)) or do not extract direct intentions to purchase (Wang et al 2021a). Hence, the motivation for this paper is to provide social researchers with a dataset to extract social support for an online campaign as well as users intentions; thereby providing researchers with a new way to conduct quantitative studies about buying intentions and support, which can potentially be used for downstream research on persuasion and social manipulation.…”

Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street

“…Instead, successful persuasive campaigns rely on emotionally charged language and enlightening information (Chen et al 2019). Furthermore, in another case study on textual conversations of CEOs and businesses, individuals process information from the peripheral route of the ELM would do so based on one of four appeals channels (social, ethical, political, and ideological) (Pignot, Nicolini, and Thompson 2020). However, much of the current research on human persuasion tend to rely on subjective surveys asking the individual if the individual were persuaded (Yi et al 2019), analyzing high-level campaigns for success (e.g., Change.org) (Chen et al 2019;Wang et al 2021a), or uses qualitative analysis (Pignot, Nicolini, and Thompson 2020).…”

“…research in online marketing focuses on measuring persuasiveness of an argument using self-reported surveys (Caldas et al 2019;Gerlach, Buxmann, and Dinev 2019), or by quantifying how responsive individuals are to tailored arguments in an online survey (Axt, Landau, and Kay 2020;Ormond, Warkentin, and Crossler 2019;Wang et al 2021b). While there have been recent advances in understanding persuasion and attitudes towards products and marketing campaigns (Wang et al 2021a;Pignot, Nicolini, and Thompson 2020)), the studies are not entirely practical (e.g., using executive messaging for interviews (Pignot, Nicolini, and Thompson 2020)) or do not extract direct intentions to purchase (Wang et al 2021a). Hence, the motivation for this paper is to provide social researchers with a dataset to extract social support for an online campaign as well as users' intentions; thereby providing researchers with a new way to conduct quantitative studies about buying intentions and support, which can potentially be used for downstream research on persuasion and social manipulation.…”