Web search engines reveal conflicting information about water fluoridation

People routinely use news outlets and social media platforms to keep up with recent events. While information from these common sources often aligns in the messages conveyed, news headlines and microblogs on social media also frequently provide contradictory messages. In this study, we examined how people recall and recognize tweets and news headlines when these sources provide inconsistent messaging. We tested this question in person (Experiment 1) and online (Experiment 2). Participants studied news headlines and tweets that provided either consistent messaging or inconsistent messaging, then completed a free recall and recognition memory task sequentially, and provided confidence ratings for recognition judgments. Findings were similar across memory tasks and experiments: Participants had better memory for tweets than news headlines regardless of message consistency. We discuss the implications of these findings for understanding memory in the digital age where social media use is widespread and messaging across sources is often inconsistent.

show abstract

Memory for tweets versus headlines: Does message consistency matter?

Peña

Maswood

Chen

et al. 2023

Applied Cognitive Psychology

View full text Add to dashboard Cite

show abstract

A visual scoping review of how knowledge graphs and search engine results page designs represent uncertainty and disagreement

Knight,

Bowdler,

Ford

et al. 2024

ILS

View full text Add to dashboard Cite

Purpose Informational conflict and uncertainty are common features across a range of sources, topics and tasks. Search engines and their presentation of results via search engine results pages (SERPs) often underpinned by knowledge graphs (KGs) are commonly used across tasks. Yet, it is not clear how search does, or could, represent the informational conflict that exists across and within returned results. The purpose of this paper is to review KG and SERP designs for representation of uncertainty or disagreement. Design/methodology/approach The authors address the aim through a systematic analysis of material regarding uncertainty and disagreement in KG and SERP contexts. Specifically, the authors focus on the material representation – user interface design features – that have been developed in the context of uncertainty and disagreement representation for KGs and SERPs. Findings Searches identified n = 136 items as relevant, with n = 4 sets of visual materials identified from these for analysis of their design features. Design elements were extracted against sets of design principles, highlighting tensions in the design of such features. Originality/value The authors conclude by highlighting two key challenges for interface design and recommending six design principles in representing uncertainty and conflict in SERPs. Given the important role technologies play in mediating information access and learning, addressing the representation of uncertainty and disagreement in the representation of information is crucial.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Web search engines reveal conflicting information about water fluoridation

Cited by 2 publications

References 19 publications

Memory for tweets versus headlines: Does message consistency matter?

Memory for tweets versus headlines: Does message consistency matter?

A visual scoping review of how knowledge graphs and search engine results page designs represent uncertainty and disagreement

Contact Info

Product

Resources

About