Online field experiments

Muise, Daniel; Pan, Jennifer

doi:10.1080/01292986.2018.1453850

Cited by 5 publications

(3 citation statements)

References 75 publications

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“…Data were collected using the commercial Survey Monkey online survey software. We conducted focus group discussions prior to collecting data to address validity issues in an online experiment (Muise & Pan, 2019). To increase internal validity, we manipulated our independent variables and automatically randomized participants using Survey Monkey (Horton et al, 2011).…”

Section: Methodsmentioning

confidence: 99%

The Role of Need for Cognition in Predicting the Attitudes of Indonesian Millennials Toward Printed Advertising and Purchase Intentions

et al. 2021

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This article presents findings from research investigating the effectiveness of humor appeals (humor relatedness and humor mechanisms) to Indonesian millennials for predicting their attitudes toward printed ads and their purchase intentions. In total, 543 Indonesian millennials participated in three experimental studies to test the relationship between humor appeals and the need for cognition to predict their attitudes and intentions. It was found that humor appeals were effective in predicting millennials’ attitudes toward printed ads and their purchase intentions. However, the need for cognition did not significantly influence the relationship. Indonesian millennials were more likely to not engage in thinking processes when evaluating humorous ads, which may be influenced by their characteristics and cultural backgrounds.

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Section: Methodsmentioning

confidence: 99%

The Role of Need for Cognition in Predicting the Attitudes of Indonesian Millennials Toward Printed Advertising and Purchase Intentions

et al. 2021

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“…It has been suggested that participants recruited from online platforms are often deprived of the rights to withdraw from research studies without prejudice and penalty (Gleibs, 2017), and information about the risks and details of the studies remains intentionally opaque (Pittman & Sheehan, 2016). At times, some online experiments that involve deception, so as to conceal the real purposes of the study and negate potential demand effects, may waive informed consent, because the collection of consent from subjects may influence the administration of online field experiments (Muise & Pan, 2019; Palan & Schitter, 2018). Taken together, ethical concerns associated with compensation and procedural transparency remain major issues with regard to the use of online platforms, and require more attention from researchers.…”

Section: Challenges Of Using Online Platforms For Data Collectionmentioning

confidence: 99%

Data Collection via Online Platforms: Challenges and Recommendations for Future Research

et al. 2021

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Online platforms such as Amazon's Mechanical Turk (MTurk) are increasingly used by researchers to collect survey and experimental data. Yet, such platforms often represent a tumultuous terrain for both researchers and reviewers. Researchers have to navigate the complexities of obtaining representative samples from online participant cohorts, ensuring data quality, ethically incentivizing participant engagement, and maintaining transparency. Reviewers, on the other hand, have to navigate the complexities of evaluating the efficacy of such data collection and execution efforts in answering important research questions. In order to provide clarity to these issues, this article provides researchers and reviewers with a series of recommendations for effectively executing and evaluating data collection via online platforms, respectively.

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“…In this review, we provide a brief survey of methodological approaches that combine the benefits of survey experiments with the ecological validity of actual social media sharing data, and that can be conducted without the active cooperation of social media platforms. For more detailed reviews, see a treatment focused on political science by (Guess, 2021); focused on social psychology by (Parigi, Santana, & Cook, 2017); focused on methodological and analytic considerations by (Bakshy, Eckles, & Bernstein, 2014); and comparing field experiments and traditional experiments as well as survey and lab experiments by (Muise & Pan, 2019). We argue that these approaches, and others like them, represent a particularly exciting direction for research on the psychology of social media.…”

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confidence: 99%

Field Experiments on Social Media

Mosleh

Pennycook

Rand

2021

Curr Dir Psychol Sci

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Online behavioral data, such as digital traces from social media, have the potential to allow researchers an unprecedented new window into human behavior in ecologically valid everyday contexts. However, research using such data is often purely observational, which limits its usefulness for identifying causal relationships. Here we review recent innovations in experimental approaches to studying online behavior, with a particular focus on research related to misinformation and political psychology. In hybrid lab-field studies, exposure to social-media content can be randomized, and the impact on attitudes and beliefs can be measured using surveys, or exposure to treatments can be randomized within survey experiments, and their impact on subsequent online behavior can be observed. In field experiments conducted on social media, randomized treatments can be administered directly to users in the online environment (e.g., via social-tie invitations, private messages, or public posts) without revealing that they are part of an experiment, and the effects on subsequent online behavior can then be observed. The strengths and weaknesses of each approach are discussed, along with practical advice and central ethical constraints on such studies.

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Online field experiments

Cited by 5 publications

References 75 publications

The Role of Need for Cognition in Predicting the Attitudes of Indonesian Millennials Toward Printed Advertising and Purchase Intentions

The Role of Need for Cognition in Predicting the Attitudes of Indonesian Millennials Toward Printed Advertising and Purchase Intentions

Data Collection via Online Platforms: Challenges and Recommendations for Future Research

Field Experiments on Social Media

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