A GUI-based online experiment creation tool (lab.js)

2021 ◽  
Vol 19 (1) ◽  
pp. 1-15
Author(s):  
Takayuki OSUGI ◽  
Masanori KOBAYASHI
Keyword(s):  
2020 ◽  
Vol 51 (5) ◽  
pp. 354-359 ◽  
Author(s):  
Yavor Paunov ◽  
Michaela Wänke ◽  
Tobias Vogel

Abstract. Combining the strengths of defaults and transparency information is a potentially powerful way to induce policy compliance. Despite negative theoretical predictions, a recent line of research revealed that default nudges may become more effective if people are informed why they should exhibit the targeted behavior. Yet, it is an open empirical question whether the increase in compliance came from setting a default and consequently disclosing it, or the provided information was sufficient to deliver the effect on its own. Results from an online experiment indicate that both defaulting and transparency information exert a statistically independent effect on compliance, with highest compliance rates observed in the combined condition. Practical and theoretical implications are discussed.


Author(s):  
Matthias Hofer

Abstract. This was a study on the perceived enjoyment of different movie genres. In an online experiment, 176 students were randomly divided into two groups (n = 88) and asked to estimate how much they, their closest friends, and young people in general enjoyed either serious or light-hearted movies. These self–other differences in perceived enjoyment of serious or light-hearted movies were also assessed as a function of differing individual motivations underlying entertainment media consumption. The results showed a clear third-person effect for light-hearted movies and a first-person effect for serious movies. The third-person effect for light-hearted movies was moderated by level of hedonic motivation, as participants with high hedonic motivations did not perceive their own and others’ enjoyment of light-hearted films differently. However, eudaimonic motivations did not moderate first-person perceptions in the case of serious films.


Author(s):  
Hui Zhang

Introduction: This study examined effects of two journalistic practices in reporting conflicting scientific evidence, hedging and presentation format, on scientists’ and journalists’ credibility and issue uncertainty. Methods: An online experiment was conducted using students from a western U.S. university. Hedging was manipulated as reporting methodological limitations versus not reporting the limitations in news articles covering the conflict. Presentation format was manipulated as using a single news article to report both sides of the conflict versus using double articles with one side of the conflict in one article and the other side in the other article. Results: The study found that perceived issue uncertainty was higher in hedged news articles than that in non-hedged articles; presentation format did not affect people’s perceived issue uncertainty. For scientists’ credibility (both competence and trustworthiness), this study found that it was lower in the single-article format than that in the double-article format; for journalists’ credibility, this study found that journalists’ trustworthiness in the two formats did not vary, but their competence was lower in the double-article format than that in the single-article format. Conclusion: This study contributes to the field of science and health communication by examining effects of presentation format used in communicating conflicting health-related scientific evidence and by examining effects of communicating scientific limitations in a context where conflicting evidence exists. Keywords: conflicting scientific evidence, hedging, presentation format, scientists’ credibility, journalists’ credibility


2021 ◽  
pp. 106591292110269
Author(s):  
Carey E. Stapleton ◽  
Ryan Dawkins

Anger is a common feature in contemporary American politics. Through the process of affect linkage, we argue that one way the electorate becomes angrier about politics is by observing angry displays from political elites. Affect linkage occurs when a person’s emotional state of mind changes to match the emotions displayed by someone else. Using an online experiment in which subjects are randomly exposed to an angry or unemotional debate between a Democrat and Republican running for Congress, we show that exposure to an angry in-party politician significantly increases the amount of anger, disgust, and outrage expressed by co-rank-and-file partisans. This increase in aversive emotions, moreover, increases the likelihood that citizens report the intention to vote, and this affect linkage effect is most pronounced in those who are most likely to stay home on election day: the weakest partisans. Interestingly, angry rhetoric by political elites does not have any effect on out-partisans, suggesting that anger via emotional contagion does not cross party lines.


2019 ◽  
Vol 97 (1) ◽  
pp. 52-71 ◽  
Author(s):  
Stephanie Edgerly ◽  
Rachel R. Mourão ◽  
Esther Thorson ◽  
Samuel M. Tham

In today’s media landscape, people are encouraged to verify the news and information they encounter. Using an online experiment, this study explores audience’s intent to verify a news headline by manipulating whether the headline is true or false, from a source that varies in credibility, and perceived to be congruent or incongruent with participants’ partisanship. Results show that participants exhibit a higher intent to verify when they believe the headline is true, which is predicted by perceived congruency with preexisting ideological leanings. We discuss these findings in terms of the normative limitations of audience verification.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Anna K. M. Blackwell ◽  
Katie De-loyde ◽  
Gareth J. Hollands ◽  
Richard W. Morris ◽  
Laura A. Brocklebank ◽  
...  

Data in Brief ◽  
2015 ◽  
Vol 5 ◽  
pp. 453-457 ◽  
Author(s):  
Jingwen Zhang ◽  
Devon Brackbill ◽  
Sijia Yang ◽  
Damon Centola

2021 ◽  
pp. 100441
Author(s):  
Paulo Rodrigo Bazán ◽  
Raymundo Machado de Azevedo Neto ◽  
Shirley Silva Lacerda ◽  
Maurício Watanabe Ribeiro ◽  
Joana Bisol Balardin ◽  
...  

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