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People increasingly use large language model (LLM)-based conversational agents to obtain information. However, the information these models provide is not always factually accurate. Thus, it is critical to understand what helps users adequately assess the credibility of the provided information. Here, we report the results of two preregistered experiments in which participants rated the credibility of accurate versus partially inaccurate information ostensibly provided by a dynamic text-based LLM-powered agent, a voice-based agent, or a static text-based online encyclopedia. We found that people were better at detecting inaccuracies when identical information was provided as static text compared to both types of conversational agents, regardless of whether information search applications were branded (ChatGPT, Alexa, and Wikipedia) or unbranded. Mediation analysis overall corroborated the interpretation that a conversational nature poses a threat to adequate credibility judgments. Our research highlights the importance of presentation mode when dealing with misinformation., (© 2024. The Author(s).)

The Perceived Leadership Communication Questionnaire (PLCQ) is a short, reliable, and valid instrument for measuring leadership communication from both perspectives of the leader and the follower. Drawing on a communication-based approach to leadership and following a theoretical framework of interpersonal communication processes in organizations, this article describes the development and validation of a one-dimensional 6-item scale in four studies (total N = 604). Results from Study 1 and 2 provide evidence for the internal consistency and factorial validity of the PLCQ's self-rating version (PLCQ-SR)-a version for measuring how leaders perceive their own communication with their followers. Results from Study 3 and 4 show internal consistency, construct validity, and criterion validity of the PLCQ's other-rating version (PLCQ-OR)-a version for measuring how followers perceive the communication of their leaders. Cronbach's α had an average of.80 over the four studies. All confirmatory factor analyses yielded good to excellent model fit indices. Convergent validity was established by average positive correlations of.69 with subdimensions of transformational leadership and leader-member exchange scales. Furthermore, nonsignificant correlations with socially desirable responding indicated discriminant validity. Last, criterion validity was supported by a moderately positive correlation with job satisfaction (r =.31).

The aim of this study is to investigate the measurement invariance of media users’ entertainment experiences as conceptualized by two-process models of entertainment (i.e., enjoyment and appreciation) across different media formats. With this purpose, the present research relates to the recent rise of entertainment research, embracing more and more media types and formats with which entertainment experiences may occur. At the same time, it addresses a methodological issue that has rarely been addressed in communication research. Focusing on one of the most often used measurement instruments in entertainment research, on three different media formats (political talk shows, comedies, and dramas), the study finds evidence for configural, metric, and scalar invariance for the scale. The theoretical and practical implications of the findings are discussed. [ABSTRACT FROM PUBLISHER]