Adoption of ride-sharing apps by Chinese taxi drivers and its implication for the equality and wellbeing in the sharing economy

The adoption of ride-sharing apps is critical to the survival of taxi drivers in the mobile-driven sharing economy. Based on survey data collected from 1195 licensed taxi drivers in Beijing, the authors present an integrated technology adoption model that combines technology and use factors (perceived usefulness and ease of use), social factors (word-of-mouth, peer adoption and subjective norms), system factors (socioeconomic and digital inequality), and audience factors (demographic characteristics and innovative personality traits). The results showed that adoption was innate, inherited, and socially driven. Adoption was positively associated with income, access to technologies, innovative personality trait, peer adoption, word-of-mouth, and perceived usefulness of the apps. The implications of the findings for inequality in the sharing economy are discussed

Sentiment, richness, authority, and relevance model of information sharing during social Crises—the case of #MH370 tweets

The study introduces a model of crisis information sharing based on Twitter discussions of the missing Malaysian Airlines Flight 370. Grounded in the Elaboration Likelihood Model, the study tests four salient factors: Sentiment, Richness, Authority, and Relevance, which can be measured by peripheral cues in tweets and in user profiles. Findings suggest that information sharing is positively associated with the presence of peripheral cues indicative of a confident, self-revealing and positive emotional language style, and is negatively related to an angry and informal style. Additionally, information sharing is related to the presence of multimedia cues and cues indicating source popularity

Does Stakeholder Engagement Pay Off on Social Media? A Social Capital Perspective

Nonprofits use social media to pursue a broad range of mission-related outcomes. Given the centrality of user connections and social networks on these sites, attaining these outcomes is contingent on first generating a stock of online social capital through investing in online relationships. Yet, little is known empirically about this process. To better understand the return on social media, this study develops empirical measures of four key dimensions of social media–based social capital centering on the nature of nonprofits’ network positions and stakeholder ties. The study then tests a series of hypotheses relating the increase in social capital to different types of stakeholder engagement tactics. Using Twitter data on 198 community foundations, the study finds that content with multiple communication cues and intersectoral stakeholder targeting predict higher levels of social capital; communicative and stakeholder diversity, thus, appear to play a key role in the successful organizational use of social media

Network Visualization and Problem-Solving Support: A Cognitive Fit Study

This study examines the relative effectiveness of four different social network representations for improving human problem-solving accuracy and speed: node-link diagrams, adjacency matrices, tables, and text. Results suggest that visual network representations improve problem-solving accuracy and speed, compared with text. Among the visual representations, tables produced superior problem-solving outcomes for symbolic tasks and link-node diagrams produced superior problem-solving outcomes for spatial tasks. These results partially support a cognitive fit model of problem-solving support. There is not “one best way” to represent network data. Instead, it is important to match network representations and problem-solving tasks

How people protect their privacy on Facebook: A cost-benefit view

Realizing the many benefits from Facebook require users to share information reciprocally, which has overtime created trillions of bytes of information online—a treasure trove for cybercriminals. The sole protection for any user are three sets of privacy protections afforded by Facebook: settings that control information privacy (i.e., security of social media accounts and identity information), accessibility privacy or anonymity (i.e., manage who can connect with a user), and those that control expressive privacy (i.e., control who can see a user\u27s posts and tag you). Using these settings, however, involves a trade-off between making oneself accessible and thereby vulnerable to potential attacks, or enacting stringent protections that could potentially make someone inaccessible thereby reducing the benefits that are accruable through social media. Using two theoretical frameworks, Uses and Gratifications (U&G) and Protection Motivation Theory (PMT), the research examined how individuals congitvely juxtaposed the cost of maintaining privacy through the use of these settings against the benefits of openness. The application of the U&G framework revealed that social need fulfillment was the single most significant benefit driving privacy management. From the cost standpoint, the PMT framework pointed to perceived severity impacting expressive and information privacy, and perceived susceptability influencing accessibility privacy

Tweeting about emergency: A semantic network analysis of government organizations’ social media messaging during Hurricane Harvey

While social media like Twitter have been increasingly adopted by public-sector organizations, it remains less explored as to how government and emergency management (EM) organizations use these platforms to communicate with the public in response to emerging natural disasters. Extending the Situational Crisis Communication Theory (SCCT) to the realm of social media, this study examines the emerging semantic networks from 67 government and EM organizations’ official tweets during Hurricane Harvey over a three-week period. It identifies how multiple crisis response strategies—including instructing information, adjusting information, and bolstering—are constituted of different issues, actions, and organizational actors before, during, and immediately after the disaster event. Results suggest that government agencies use the strategy of instructing information predominantly before and during the disaster, whereas adjusting information and bolstering strategies are utilized more during post-disaster recovery. The study offers theoretical and practical implications of using a semantic network approach to studying organizational crisis responses

Organizational Disaster Communication Ecology: Examining Interagency Coordination on Social Media During the Onset of the COVID-19 Pandemic

Interagency coordination is crucial for effective multiagency disaster management. Viewing government and emergency management organizations as vital components of citizens’ disaster communication ecology, this study examines how a group of Texas-based public health departments and emergency management offices engaged in interagency coordination during different phases of the COVID-19 pandemic. By analyzing coronavirus-related agency tweets between early February and the end of August 2020, the study assesses two types of interagency coordination: (1) contentlevel coordination in the form of semantic similarity among the selected public agencies serving different jurisdictions and (2) relational-level coordination in terms of referencing common stakeholders through retweeting coronavirus-related information. Using a granular, four-stage construct of a crisis, results identify stage-based variation with regard to peer-to-peer and federal-to-local coordination. We conclude with theoretical and practical implications for communication ecology and disaster management

Social media fandom for health promotion? Insights from East Los High, a transmedia edutainment initiative

As digital media technologies proliferate and social media spaces expand, how does one leverage popularity and cultivate fandom to promote health? Despite the easy entry, broad reach, and interactive features of social media such as Facebook and Twitter, health promoters are unsure how to meaningfully engage users and build lasting online communities. In this article, we examined the Facebook Insights and Twitter hashtag network over a nine-month period for Season 1 of the exemplary transmedia edutainment show East Los High. Premiered on Hulu, the popular entertainment streaming site, East Los High was purposefully designed to serve Latino youths in the United States, spurring conversations and promoting healthy relationships and safe sex practices across different digital platforms. We used Facebook analytics to gauge the audience reach, engagement, and dissemination; developed a 10-indicator index to identify the most successful among the 352 Facebook posts; analysed the position of East Los High in the Facebook co-commenting network; and assessed the top word pairs from those Facebook comments in accordance with the show’s social objectives. We also studied the underlying structure of the Twitter hashtag network representing the interactions between @EastLosHighShow and its 2,136 followers with tweets that included #ELH, #ELHaddict(s), and/or #EastLosHigh. While challenges exist in initiating and maintaining user engagement on these social media platforms, our findings revealed effective and actionable strategies for health promotion by cultivating fandom and building communities on social media.publishedVersio

Measuring international relations in social media conversations

This paper examines international relations as perceived by the public in their social media conversations. It examines over 1.8 billion Facebook postings in English and 51 million Chinese posts on Weibo, to reveal the relations among nations as expressed in social media conversations. It argues that social media represent a transnational electronic public sphere, in which public discussions reveal characteristics of international relations as perceived by a foreign public. The findings show that the international relations in social media postings match the core-peripheral structure proposed in the World Systems Theory. Additionally, the relations are associated with the amount of news coverage and public attention a country receives. Overall, the study demonstrates the value of webometric data in revealing how international relations are perceived by average citizens

The Shaping of the Network Neutrality Debate: Information Subsidizers on Twitter

Drawing on the concept of information subsidy, this study explores the network neutrality debate in the context of Twitter. Content analysis of the top 150 most retweeted URLs demonstrates that the composition of information subsidizers on Twitter was more or less evenly divided among stakeholders, including government, industry, nonprofit/advocacy, and experts. Despite the diversity of sources, there was a clear lack of diversity in stance. The majority of sources displayed a favorable attitude toward net neutrality. Our findings highlight the potential of Twitter to represent the position of resource-poor information subsidizers, including advocacy groups, entrepreneurs, and race-based online communities, as they seek to uphold the neutrality of the Internet