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Unveiling the Positivity Bias on Social Media: A Registered Experimental Study On Facebook, Instagram, And Xuse asterix (*) to get italics
A. Masciantonio, N. Heiser, A. CherbonnierPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2024
<p>Social media has transformed how people engage with the world around them. The positivity bias on social media, in particular, warrants in-depth investigation. This is particularly true as previous research has concentrated on one specific platform, Facebook. Based on a pilot study of 279 university students, this pre-registered experimental research will use a mixed design to examine the positivity bias on various social media platforms. After recalling a personal event, participants will randomly imagine telling this event to a group of friends and sharing it on social media (Facebook vs. Instagram vs. Twitter/X). Several characteristics will be examined through repeated measures ANCOVAs including the texts’ valence and the usage of emoji. Data collection will take place via the Prolific platform, adhering to our required sample size of 350 participants. By focusing explicitly on Facebook, Instagram and Twitter/X, this research aims to enrich the current understanding of the positivity bias on social media through an experimental and pre-registered approach.</p>
You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
social media; cross-platform; valence; positivity bias; self-presentation; emoji
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Social sciences
Adrian Meier [adrian.meier@fau.de] suggested: Julius Klingelhoefer (Julius.klingelhoefer@fau.de) No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2024-01-15 10:33:52
Veli-Matti Karhulahti