Strategic Bias Shifting: Herding as a Behaviorally Rational Response to Regret Aversion

2015 ◽  
Author(s):  
Jennifer Arlen ◽  
Stephan Tontrup

2015 ◽  
Vol 7 (2) ◽  
pp. 517-560 ◽  
Author(s):  
Jennifer Arlen ◽  
Stephan Tontrup


Author(s):  
Jochen Reb ◽  
Terry Connolly
Keyword(s):  


2021 ◽  
pp. 194016122110226
Author(s):  
Ayala Panievsky

As populist campaigns against the media become increasingly common around the world, it is ever more urgent to explore how journalists adopt and respond to them. Which strategies have journalists developed to maintain the public's trust, and what may be the implications for democracy? These questions are addressed using a thematic analysis of forty-five semistructured interviews with leading Israeli journalists who have been publicly targeted by Israel's Prime Minister, Benjamin Netanyahu. The article suggests that while most interviewees asserted that adherence to objective reporting was the best response to antimedia populism, many of them have in fact applied a “strategic bias” to their reporting, intentionally leaning to the Right in an attempt to refute the accusations of media bias to the Left. This strategy was shaped by interviewees' perceived helplessness versus Israel's Prime Minister and his extensive use of social media, a phenomenon called here “the influence of presumed media impotence.” Finally, this article points at the potential ramifications of strategic bias for journalism and democracy. Drawing on Hallin's Spheres theory, it claims that the strategic bias might advance Right-wing populism at present, while also narrowing the sphere of legitimate controversy—thus further restricting press freedom—in the future.



Author(s):  
Febria Nalurita ◽  
Farah Margaretha Leon ◽  
Hamdy Hady

This study aims to investigate the effect of loss aversion, regret aversion, and market factors, on investment decision making with the moderating role of locus of control. Data collection is done by distributing questionnaires. The survey was conducted on individual investors in the Indonesia Stock Exchange in Jakarta to obtain a sample of 281. This research uses the Structural Equation Modeling approach. The statistical tool used is LISREL 8.8. This study found that loss aversion, regret aversion, and market factors significantly influence investment decision making. Locus of control plays the role of moderation between loss aversion, regret aversion, market factors, and investment decision making. The novelty in this study reveals the research that needs to be done to encourage investors to make rational decisions and control the required rate of returns through their locus of control. This research helps investors to make decisions logically and rationally with an open mind, high-performance thoughts and positive actions for investment goals that produce positive returns.



2012 ◽  
Vol 78 (3) ◽  
pp. 101
Author(s):  
Itzhak Aharon


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ze Wang ◽  
Haiqiang Yang ◽  
Linglin Ni

Following the research on human decision-making under risk and uncertainty, the purpose of this paper is to analyze evacuees’ risky route decision behavior and its effect on traffic equilibrium. It examines the possibility of applying regret theory to model travellers’ regret-taking behavior and network equilibrium in emergency context. By means of modifying the utility function in expected utility theory, a regret-based evacuation traffic equilibrium model is established, accounting for the evacuee’s psychological behavior of regret aversion and risk aversion. Facing two parallel evacuation routes choice situation, the effect of evacuees’ risk aversion and regret aversion on traffic equilibrium is numerically investigated as well as the road capacity reduction from natural disaster. The findings reveal that evacuees prefer the riskless route with the lower travel time as the increase of the regret aversion degree. The equilibrium tends to be achieved when more evacuees choose the safer route jointly affected by risk aversion and regret aversion. Moreover, an optimization model for disaster occurring possibility is formulated to assess the traffic system performance for evacuation management. These findings are helpful for understanding how the regret aversion and risk aversion influence traffic equilibrium.





Author(s):  
Keila Meginnis ◽  
Michael Burton ◽  
Ron Chan ◽  
Dan Rigby


2019 ◽  
Vol 15 (2) ◽  
pp. 1440-1458 ◽  
Author(s):  
Shunqiang Ye ◽  
Shoufeng Ma ◽  
Ning Jia


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