Combating weight-stigmatization in online spaces: the impacts of body neutral, body positive, and weight-stigmatizing TikTok content on body image and mood
Raeanna Kilby; Kristin D. Mickelson · 2025 · Frontiers in Psychiatry
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Social media movements centered on body positivity and body neutrality both encourage healthy attitudes toward the physical body; however, these movements are conceptually distinct and may have unique influences on body image. This study examined how brief exposure to different types of body acceptance and weight-stigmatizing content affects body image and mood. Participants consisted of women and gender-diverse individuals (N = 326) who completed an online survey and were randomly assigned to view one of four TikTok video compilations: body neutrality, body positivity, weight-stigmatizing, or
Abstract by Raeanna Kilby; Kristin D. Mickelson, Frontiers in Psychiatry (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Our Princess Is in Another Castle
Negative / Null Result ReportUsing Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial
Negative / Null Result ReportHow Replicable Are Links Between Personality Traits and Consequential Life Outcomes? The Life Outcomes of Personality Replication Project
Negative / Null Result ReportThe cross-cultural validity of posttraumatic stress disorder: implications for DSM-5
Negative / Null Result ReportPsychiatric and medical correlates of DSM‐5 eating disorders in a nationally representative sample of adults in the United States
Negative / Null Result ReportRomantic relationships and the physical and mental health of college students
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3389/fpsyt.2025.1577063