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Chatbots have in recent years increasingly been used by organizations to interact with their customers. Interestingly, most of these chatbots are gendered as female, displaying stereotypical notions in their avatars, profile pictures and language. Considering the harmful effects associated with gender-based stereotyping at a societal level—and in particular the detrimental effects to women—it is crucial to understand the effects of such stereotyping when transferred and perpetuated by chatbots. The current study draws on the Stereotype Content Model (SCM) and explores how the warmth (high vs. low) of a chatbot’s language and the chatbot’s assigned gender elicit stereotypes that affect the perceived trust, helpfulness, and competence of the chatbot. In doing so, this study shows how established stereotype theory can be used as a framework for human-machine communication research. Moreover, its results can serve as a foundation to explore ways of mitigating the perpetuation of stereotyping and bring forward a broader discussion on ethical considerations for human-machine communication.
Chatbots have in recent years increasingly been used by organizations to interact with their customers. Interestingly, most of these chatbots are gendered as female, displaying stereotypical notions in their avatars, profile pictures and language. Considering the harmful effects associated with gender-based stereotyping at a societal level—and in particular the detrimental effects to women—it is crucial to understand the effects of such stereotyping when transferred and perpetuated by chatbots. The current study draws on the Stereotype Content Model (SCM) and explores how the warmth (high vs. low) of a chatbot’s language and the chatbot’s assigned gender elicit stereotypes that affect the perceived trust, helpfulness, and competence of the chatbot. In doing so, this study shows how established stereotype theory can be used as a framework for human-machine communication research. Moreover, its results can serve as a foundation to explore ways of mitigating the perpetuation of stereotyping and bring forward a broader discussion on ethical considerations for human-machine communication.
Background: This article presents a scoping review of reviews on the topic of Sexual Harassment (SH) in the workplace, a subject that has garnered significant global attention. The phenomenon of SH poses a critical challenge to equal opportunity and gender equity in the workplace. Aim: The review aims to synthesize existing research, focusing on the antecedents, consequences, and interventions related to SH. Methods: The inclusion and exclusion criteria were established based on the research question, which was adapted from the PICO strategy. A protocol was devised following the "DS-CPC" format, which encompasses considerations related to Documents, Studies, Construct, Participants, and Contexts. The search was carried utilizing several automated databases, specifically focusing on the fields of Psychology, Behavioral Sciences, and Health. Preliminary search yielded a total of 468 articles, and the review ultimately encompassed a total of 22 articles. Results: This review critically examines the complexity of SH, including the role of bystanders, the perpetuation of myths and misconceptions, and the exploitation of power imbalances by harassers. It also explores the manifestation of SH in male-dominated workplaces and the varying levels of organizational awareness and response to such incidents. The review highlights the importance of fostering an organizational culture that not only acknowledges and protects victims but also implements effective measures to penalize perpetrators. Implications: It aims to elucidate the intricacies of SH and advocate for a workplace environment characterized by respect and accountability. Through this comprehensive analysis, the article seeks to inform and guide future research, policy development, and organizational practices concerning SH.
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