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The rise of racial hate speech on social media has raised critical questions for scholars to explore. It is necessary to understand how outside observers passively evaluate (a) online racial hate speech posts on social media and (b) whether those evaluations are related to observers' subsequent behavior. This study explored how observers evaluate acts of majority-on-minority and minority-on-minority anti-Asian hate tweets on Twitter. In an experiment ( n = 196) informed by expectancy violations theory, we tested how White observers evaluated anti-Asian tweets ostensibly posted by either a White or Black source. Analysis revealed a moderated-mediation pathway in which observers' political partisanship (Democrat/Republican) affected how they judged the ethnic prototypicality of White and Black sources of racial hate speech; these source prototypicality judgments were in turn associated with observers' judgments of tweet offensiveness and self-reported intentions to engage in online activism (i.e., signing an online petition). These results contribute to our understanding of outside observers' differential expectancies regarding online hate speech, and how those expectancies can affect perceptions of and reactions to acts of racism.

The current research used uncertainty management theory (UMT) as a framework to examine individuals' experience of uncertainty within the context of Grindr, an all-male, location-based mobile dating application. In two studies, we first investigated the particular concerns associated with Grindr use. Results indicated that the unique affordances of Grindr generated six categories of user concerns associated with use of the mobile application. The second study confirmed that a specific set of user goals and concerns predicted daters' desire for uncertainty, which in turn predicted information-seeking behavior. Findings clearly indicate that Grindr users' responses to uncertainty were not limited to simple reduction strategies, but were dependent upon their desire for and tolerance of uncertainty in relation to their goals and concerns of application use. The current results also help to establish UMT's predictive power and explanatory utility within the realm of interpersonal communication.

This research addresses three important issues regarding interpersonal expectancy effects and communication across various modalities. The phenomena of behavioral confirmation and disconfirmation were tested in an original experiment involving 148 participants using computer-mediated communication (CMC). First, this study tested a boundary condition asserted by previous theorists about whether or not confirmation and disconfirmation could occur in communication channels without nonverbal communication. Secondly, it shed light on an important causal variable of perceived malleability of interpersonal expectancies in a novel, simultaneous test of confirmation and disconfirmation. Lastly, it verified the hyperpersonal model of CMC by demonstrating behavioral confirmation, and extended the model by specifying when disconfirmation occurs online.

"In Up to Date, Tong and Van Der Heide explore the spicy, unsetting-and sometimes just exhausting-universe of digital romance. As dating platforms like Bumble, Tinder, and Grindr proliferate, scholars have had to stretch their understandings of how courtship works, often arriving at fascinatingly counterintuitive theories about how twenty-first century daters shape online identities, select mates, mediate conflict, and maintain or terminate romantic relationships. This book guides readers through an increasingly complex and extensive literature, highlighting strengths and weaknesses of existing approaches, while establishing new avenues for the future. Written for both students and seasoned experts alike, the book also addresses the largely invisible underpinnings of what has become a multibillion-dollar industry, including propriety algorithms and perverse economic incentives. Up to Date is a provocative and rigorous must-read for anyone who seeks to understand or conduct research regarding the social science of online romance"--

How do online daters come to understand and make sense of their online dating experiences and the algorithms that underlie online dating platforms? Across two mixed-method studies, we take a metaphoric approach to identify and explore people's folk theories about traditional dating, online dating, and online dating algorithms. In Study 1, we take a quantitative approach and use an innovative wiki-survey procedure to identify individuals' folk theories of online dating and their associated themes through content analyses. In Study 2, we take a qualitative approach, exploring participants' folk theories through in-depth interviews, extended case method, and grounded theory. Our studies uncovered two folk theories unique to traditional dating ( movies, nurturing), one folk theory unique to online dating ( game), three folk theories related to online dating algorithms ( filter, personalized advertisements, bracket), and two folk theories that were found to overlap between traditional and online dating ( shopping, chance and randomness). Our findings provide novel insights into how daters make sense of traditional and online relationship development processes as well as the algorithms that underlie online dating platforms.

This research examines how online dating technology affects the experience of mate selection and courtship among Muslim American women. Sixteen individuals who (1) self-identified as Muslim American women and (2) were actively using online dating websites participated in interviews about their experiences. Qualitative data analysis suggests that these women balance the perceived advantages of online dating (e.g. increased individual agency in initiating romantic relationships, increased control over interaction, greater confidentiality and privacy) with their desire to maintain their cultural and religious courtship practices. Additionally, participants identified challenges they faced with online dating, including social stigma, fear of others' misrepresentation, and frustrations with technology. This study contributes toward a deeper understanding of how new technologies integrate with existing religions and cultures and gives insights into the nature of technological change and adaptation in society more generally.

A small cottage industry emerging within the larger gig economy is online dating assistant (ODA) companies that allow paying clients to outsource the labor associated with online dating, including profile development, date selection and matching, and even interaction (i.e., ODAs assume their clients' identities to exchange messages with other [unsuspecting] daters to secure face-to-face dates). The newness of this industry presents an opportunity to investigate the lived experience of remote employees working in an up-and-coming virtual organization. Through interviews with six ODAs, we explored motivations, day-to-day workflow, and development of work identities. Analysis uncovered unique challenges ODAs faced when performing the "human-based" tasks of online dating, which differed starkly from other popular services being bought and sold in the gig economy (e.g., rideshare, food delivery). Findings also show how ODAs engage in pragmatic and critical sensemaking as they navigate the specific challenges associated with ODA labor, and those created by remote work and gig labor, more generally.

In online dating, the self-authored profile serves as the primary way for daters to introduce themselves to others and to learn more about potential partners. However, few studies have examined the extent to which daters' self-authored profile content is consistent with the impressions that others actually form. This study applied the Brunswikian lens model (1956) to examine self-presentation and impression formation in the text-based "about me" portion of the online dating profile. Using the meaning extraction method, we analyzed 190 profiles. Consistent with the lexical approach to personality, daters were able to encode aspects of themselves through linguistic self-description (cue validity), and observers were able to decode profile information to form impressions (cue utilization). However, there were few significant associations between a dater's self-presentation and observers' judgments (functional achievement). Findings are interpreted in line with previous work examining self-presentation and impressions in online dating profiles.