Measuring user engagement with low credibility media sources in a controversial online debate.
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ABSTRACT:
SUBMITTER: Vilella S
PROVIDER: S-EPMC9108351 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background and objectivesThe "credibility ceiling" method was proposed to conduct sensitivity analysis for unmeasured confounding and other forms of bias in meta-analyses and has been used in umbrella reviews to grade evidence strength. However, we explain that the method has fundamental statistical flaws.MethodsWe use statistical reasoning to assess the method's validity, providing intuition for our findings by presenting simple applied examples in which the method yields clearly incorrect conclusions.ResultsThe credibility ceiling is not a valid bias correction, as we show mathematically and illustrate using examples in which, for example, the method incorrectly "adjusts" the meta-analytic point estimate in the wrong direction. Although the originators describe the method as limiting the credibility of any given observational study to a fixed ceiling, we show why this interpretation in fact bears little relation to what the method actually does.ConclusionGiven the fundamental problems with the credibility ceiling method and its demonstrated potential for misleading conclusions, we recommend against its use.
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Project description:ImportanceSocial media is simultaneously home to communities of users who promote eating disorders as a lifestyle and users who advocate for recovery. As studies have confirmed an association between exposure to pro-eating disorder content and engaging in disordered eating behaviors, an examination of the accuracy of and interactions with information shared in these complex and contradictory communities can provide insights into content available to users at risk.ObjectiveTo determine the associations among themes, accuracy of information, and user engagement of eating disorder content on a short video-sharing social media platform.Design, setting, and participantsThis qualitative study included a thematic analysis of a sample of 200 TikTok videos, as well as user engagement metrics and content creator characteristics, between February and June 2022. Data were analyzed from March to June 2022.Main outcomes and measuresContent themes, accuracy of information, user engagement, and the associations among these factors were identified in a sample of eating disorder videos on a social media platform. Data were analyzed with Pearson χ2, analysis of variance, linear regression, and random permutation tests.ResultsAmong the 200 videos assessed, 124 (62.0%) covered prorecovery content, 59 (29.5%) included pro-eating disorder content, and 17 (8.5%) contained anti-eating disorder content. Thematic analysis revealed 4 high-level themes: (1) encouraging the development or sustainment of eating disorders, (2) sharing physical or emotional experiences with eating disorders, (3) sharing narratives of recovery, and (4) social support. While the results of Pearson χ2 test indicated that videos in the prorecovery domain contained more accurate content than videos categorized in the pro-eating disorder and anti-eating disorder domains (χ24 = 157.92; P < .001), the results of analysis of variance demonstrated that there was no significant difference in user engagement between informative and misleading content (likes: F = 0.110; P = .95; comments: F = 2.031; P = .13; views: F = 0.534; P = .59; shares: F = 0.691; P = .50). Results of the 10 000 random permutation tests, in which all P values were between .40 and .60 regardless of the distances, suggested that there was no significant difference in user engagement among the 3 domains.Conclusions and relevanceThis mixed-methods qualitative analysis of misleading eating disorder information on social media found that pro-eating disorder and prorecovery communities were prevalent. However, social media users in the prorecovery community created more informative than misleading content. Furthermore, the study found no significant difference between users' engagement with accurate vs misleading videos, which may suggest that false information alone does not influence the virality of videos.
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Project description:Computational biology is replete with high-dimensional (high-D) discrete prediction and inference problems, including sequence alignment, RNA structure prediction, phylogenetic inference, motif finding, prediction of pathways, and model selection problems in statistical genetics. Even though prediction and inference in these settings are uncertain, little attention has been focused on the development of global measures of uncertainty. Regardless of the procedure employed to produce a prediction, when a procedure delivers a single answer, that answer is a point estimate selected from the solution ensemble, the set of all possible solutions. For high-D discrete space, these ensembles are immense, and thus there is considerable uncertainty. We recommend the use of Bayesian credibility limits to describe this uncertainty, where a (1-alpha)%, 0< or =alpha< or =1, credibility limit is the minimum Hamming distance radius of a hyper-sphere containing (1-alpha)% of the posterior distribution. Because sequence alignment is arguably the most extensively used procedure in computational biology, we employ it here to make these general concepts more concrete. The maximum similarity estimator (i.e., the alignment that maximizes the likelihood) and the centroid estimator (i.e., the alignment that minimizes the mean Hamming distance from the posterior weighted ensemble of alignments) are used to demonstrate the application of Bayesian credibility limits to alignment estimators. Application of Bayesian credibility limits to the alignment of 20 human/rodent orthologous sequence pairs and 125 orthologous sequence pairs from six Shewanella species shows that credibility limits of the alignments of promoter sequences of these species vary widely, and that centroid alignments dependably have tighter credibility limits than traditional maximum similarity alignments.
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Project description:BackgroundThere is growing interest in using mobile apps and online tools to support postsecondary student mental health, but most of these solutions have suboptimal user engagement in real-world settings. Poor engagement can limit long-term effectiveness and usefulness of these tools. Previous literature has proposed several theories that link factors such as low usability and poor user-centered design to app disengagement. However, few studies provide direct evidence showing what factors contribute to suboptimal user engagement in the context of mobile mental health apps for postsecondary students.ObjectiveThis study focuses on understanding postsecondary students' attitudes and behaviors when using Thought Spot, a co-designed mental health app and online platform, to understand factors related to engagement and user experience.MethodsStudents who were given access to Thought Spot for 6 months during a randomized trial of the intervention were invited to participate in one-on-one semistructured interviews. The interviews explored participants' overall experiences and perceptions of the app, along with factors that affected their usage of various features. All interviews were recorded, and template analysis was used to analyze transcripts.ResultsUser satisfaction was mixed among users of Thought Spot. The degree of engagement with the app appeared to be affected by factors that can be grouped into 5 themes: (1) Students valued detailed, inclusive, and relevant content; (2) Technical glitches and a lack of integration with other apps affected the overall user experience and satisfaction with the app; (3) Using the app to support peers or family can increase engagement; (4) Crowdsourced information from peers about mental health resources drove user engagement, but was difficult to obtain; and (5) Users often turned to the app when they had an immediate need for mental health information, rather than using it to track mental health information over time.ConclusionsContent, user experience, user-centeredness, and peer support are important determinants of user engagement with mobile mental health apps among postsecondary students. In this study, participants disengaged when the app did not meet their expectations on these determinants. Future studies on user engagement should further explore the effectiveness of different features and the relative importance of various criteria for high-quality apps. Further focus on these issues may inform the creation of interventions that increase student engagement and align with their mental health needs.Trial registrationClinicalTrials.gov NCT03412461; https://clinicaltrials.gov/ct2/show/NCT03412461.International registered report identifier (irrid)RR2-10.2196/resprot.6446.
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