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The success of the public display of restaurant hygiene scores has encouraged online review sites to display these scores digitally on their platforms. By investigating 225,252 Yelp reviews toward 1,937 restaurants in Charlotte, North Carolina, we find that while displaying hygiene scores digitally can inform consumers in a way that reduces bias in reviews, it paradoxically can also promote the creation of more reviews that are biased, something we call the cognitive–discursive dilemma. Specifically, after the digital display on Yelp, reviews mentioning hygiene were more in line with scores, indicating an improvement in "accuracy" across reviews in general. Yet, the digital display also led to greater attention to hygiene, leading to lower scores for restaurants of lower social status as measured by price and cuisine type. Our findings thus call for more attention to a broader theoretical implication about the provision of "accurate information" on review sites.

Online reviews are found to mitigate racial discrimination in the sharing economy, but we argue that the chance of getting reviews is unequal for suppliers/workers of difference races. We test this logic with 16,674 hosts and 396,923 reviews on Airbnb in New York City. We find that the majority hosts (i.e. White) acquire their first review and third review (enough to trigger the publication of aggregate rating) more quickly than minority hosts (i.e. Asian and Black). However, setting listings instantly bookable helps reduce the racial difference in review acquisition. Our analyses also reveal that compared with Asian or Black hosts, White hosts receive higher aggregate ratings and more positive reviews at early stage of review acquisition. Such racial difference attenuates over time as the number of reviews increases. Our findings contribute to a more comprehensive understanding of racial discrimination against minorities in the sharing economy.

This study examines the organizational dynamics of social media crowds, in particular, the influence of a crowd's emotional expression on its solidarity. To identify the relationship between emotions expressed and solidarity, marked by sustained participation in the crowd, the study uses tweets from a unique population of crowds—those tweeting about ongoing National Football League games. Observing this population permits the use of game results as quasi-random treatments on crowds, helping to reduce confounding factors. Results indicate that participation in these crowds is self-sustaining in the medium term (1 week) and can be stimulated or suppressed by emotional expression in a short term (1 hour), depending on the discrete emotion expressed. In particular, anger encourages participation while sadness discourages it. Positive emotions and anxiety have a more nuanced relationship with participation.

This article uses a multitheoretical approach to investigate the relationship between language use and opinion expression on Yelp. Using review metadata (e.g., star rating) to observe variation in reviewer feelings and motivations, we test for the strength of different message design logics: expressive logics, where language reflects a reviewer's underlying opinion, and rhetorical logics, where language reflects a reviewer's desire to make his or her opinion credible and acceptable to their audience. Results suggest that emotional language is motivated by expression as higher rated businesses are reviewed with more positive and fewer negative emotion terms. Rhetorical logics are associated with the use of abstract and self-focused language, with analysis suggesting this may result from the reviewer's decision to write either narratively or formally.

Risk research has theorized a number of mechanisms that might trigger, prolong, or potentially alleviate individuals' distress following terrorist attacks. These mechanisms are difficult to examine in a single study, however, because the social conditions of terrorist attacks are difficult to simulate in laboratory experiments and appropriate preattack baselines are difficult to establish with surveys. To address this challenge, we propose the use of computational focus groups and a novel analysis framework to analyze a social media stream that archives user history and location. The approach uses time‐stamped behavior to quantify an individual's preattack behavior after an attack has occurred, enabling the assessment of time‐specific changes in the intensity and duration of an individual's distress, as well as the assessment of individual and social‐level covariates. To exemplify the methodology, we collected over 18 million tweets from 15,509 users located in Paris on November 13, 2015, and measured the degree to which they expressed anxiety, anger, and sadness after the attacks. The analysis resulted in findings that would be difficult to observe through other methods, such as that news media exposure had competing, time‐dependent effects on anxiety, and that gender dynamics are complicated by baseline behavior. Opportunities for integrating computational focus group analysis with traditional methods are discussed.

International broadcasters, like all media institutions, adjust to reflect the existence of new distribution technologies. Technological change is part of a new media landscape that has rendered older definitions and contexts of international broadcasting insufficient. The pace and extent of adjustment differs among the players. Adaptations range from the superficial to the highly integrative and, on the other hand, from the merely adaptive to the pervasively transformative. Can one compare, among institutions, how this process takes place and what factors influence the patterns of accommodation? Theories of organizational structure shed light on which factors lead international broadcasters to which path. This article considers U.S. international broadcasting as a model to tease out some of these factors, among them organizational complexity, political influence, and control and contradictions embedded in institutional purpose. In this scenario, technological adaptation can mask a critical need to address institutional transformation.

International broadcasters, like all media institutions, adjust to reflect the existence of new distribution technologies. Technological change is part of a new media landscape that has rendered older definitions and contexts of international broadcasting insufficient. The pace and extent of adjustment differs among the players. Adaptations range from the superficial to the highly integrative and, on the other hand, from the merely adaptive to the pervasively transformative. Can one compare, among institutions, how this process takes place and what factors influence the patterns of accommodation? Theories of organizational structure shed light on which factors lead international broadcasters to which path. This article considers U.S. international broadcasting as a model to tease out some of these factors, among them organizational complexity, political influence, and control and contradictions embedded in institutional purpose. In this scenario, technological adaptation can mask a critical need to address institutional transformation. [Reprinted by permission of Sage Publications Inc., copyright 2008 The American Academy of Political and Social Science.]

AbstractTwitter provides a useful tool for studying public conversations about climate change, an issue that crosses international boundaries and stirs political and scientific debate. This review presents what is currently known about the way climate change is discussed on Twitter, acknowledging advantages and limitations and suggesting future areas for study. As an accessible platform, Twitter allows public expression of opinions on climate change and provides data on how these fluctuate over different times and places. Moving forward, studies assessing climate views can be improved by better linking them to demographic and other data indicating the population that Twitter users represent. The open‐ended content of tweets provides additional information, such as which topics are associated with climate change and which terms are used to discuss it. Future studies can build on these results to capture a wider range of climate‐related discussion. Finally, researchers are using Twitter to understand who initiates and participates in climate change dialog and how, by categorizing users as different actors—such as politicians, celebrities, NGOs, or the general public. Future research could consider how effective these efforts are, and how Twitter activity translates to offline outcomes.

Today's corporations increasingly use downsizing as a change strategy to improve organizational performance. Although downsizing and employee networks have garnered attention from both scholars and practitioners, few studies have investigated the influence of downsizing on the temporal dynamics of communication networks among surviving employees or how changes in communication patterns in organizations affect performance. To study how downsizing affects layoff survivors—extending Conservation of Resources theory to longitudinal network and employee-performance data—we examine the impact of downsizing on both the behavioral and structural consequences in an organizational network and test whether temporal changes in network members' degree centrality predict how employees who survive a downsizing event perform in their jobs. Results indicate that, during the period immediately following a downsizing event, survivors' new tie-seeking behavior results in gains in degree centrality when compared with degree centrality before the downsizing or after organization routines stabilize. Moreover, survivors with lower pre-downsizing degree centrality achieved greater gains in degree centrality than those with higher degree centrality. We find that substantial gains in degree centrality are positively related to post-downsizing performance. Efforts to regain degree centrality are abandoned during the stabilization period, and changes in degree centrality are no longer positively related to post-downsizing performance. Our results demonstrate that dynamic changes in degree centrality during disruption and stabilization periods following a downsizing event have differential effects on work-related relationships and performance. We discuss the theoretical and managerial implications of these results and suggest future research directions.

This study examines the impact of legitimacy on the dynamics of interorganizational networks within the nongovernmental organizations' children's rights community. The 27-year period of analysis included a critical community event: the ratification of the United Nations Convention on the Rights of the Child (UNCRC). Building on theories of organizational evolution, hypotheses proposed that (1) ratification of the UNCRC served to codify and more broadly communicate the legitimate norms of the community, and (2) dissemination of normative information made it easier (a) for less experienced organizations to form and maintain partnerships, and (b) for organizations to form partnerships without reference to shared third-party contacts or dominant organizations. Data analysis via a longitudinal network model supported the hypotheses. Further investigation via an event history analysis suggested that these effects were largely confined to links among organizations in the children's rights community and not to links made by these organizations to more general others.