Search results

With the rapidly improving communication technologies, a growing number of people communicate with each other in online environments. In particular, social networking services (SNSs) are one of the widely used and common places that enable active communication among users. To understand what drives successful online conversations in SNSs, this study aims to explore the roles of posts and first comments in successful online conversations.

To address the purpose, the data of news-related channels in Reddit were collected and analyzed.

The study found that successful conversations tend to have the post and first comment with high scores. Also, the first comments in successful online conversations tend to be easier than those in other conversations.

The results reveal that successful online conversations can be generated not only with empathic posts but also with touching or attractive first comments. In other words, users are likely to participate in an online conversation that starts with an empathic post and first comment. Moreover, both practical and theoretical implications are presented.

This paper explores the use of blogs as a platform for providing reference service, and discusses Lyceum, an open source software project from ibiblio.org, for this purpose.

The following topics are explored: the evolution of libraries' uses of blogs, the advantages of conducting the reference transaction as a collaborative effort, and the use of blogs as an environment that fosters collaboration. The argument is made that blogs may be used to good effect in reference services

It is argued that blogs may be used to good effect in reference services. Lyceum, an open source blogosphere application, is discussed as an environment for blog‐based reference service.

To date, blogs are not being used by a library reference services, and by few online reference service unaffiliated with libraries. This paper will be useful to libraries and other reference services interested in conducting the reference transaction as a community effort.

Enterprise social networks (ESN) are increasingly used by companies to reinforce collaboration and knowledge sharing. While prior research has investigated ESN use practices, little is known about potential user roles emerging on these platforms. Against this backdrop, this paper develops an ESN knowledge actor role framework.

The framework is constructed based on a systematic review of literature covering knowledge worker role typologies, user roles identified in public online social spaces as well as findings from ESN research.

The ESN knowledge actor role framework distinguishes eight contributing and two reading roles. It describes the associated participation behaviours and establishes metrics to identify the roles.

Providing a notion of knowledge management-related roles in ESN, the framework enables a better understanding of knowledge processes and the involved actors. Moreover, the paper advances the field of ESN data analytics by designing a set of ESN metrics to characterise user behaviour.

Understanding ESN user roles, in particular regarding their knowledge contributions to the platform, can improve knowledge transparency in companies. The framework may usefully support the identification and management of critical knowledge resources and support decision-making in the areas of human resources management and knowledge management.

Providing a platform for knowledge-intensive interactions as well as record of user activities, ESN are well suited to observe and identify knowledge actor roles emerging in this context.

Digitalisation has increased the importance of online forms of marketing, including social media (SM) marketing, for entrepreneurial firms. This paper aims to identify digital engagement strategies and tactics in developing SM marketing capability.

The study uses ethnographic content analysis of an entrepreneurial firm and a network of business-to-business (B2B) actors to classify 1,248 B2B Facebook posts and Twitter tweets from a case of an artisan food producer in addition to semi-structured interviews with 26 networked actors.

The authors derive a range of digital engagement strategies (8 in total) and tactics (15 in total) for the four defining layers of SM marketing capability, namely, connect, engage, co-ordinate and collaborate.

This research focuses on a case study and a network of B2B actors within the artisan food sector. However, the strategies and tactics are applicable to other entrepreneurial firms and contexts.

The digital engagement strategies and tactics are of direct practical benefit to entrepreneurial firms willing to learn and develop SM marketing capability in interaction with their B2B partners.

This study investigates three under-researched areas, SM as it relates to B2B relationships, and entrepreneurship, and marketing capability gaps in an era of rapid digitalisation. The definition of SM marketing capability and associated digital engagement strategies and tactics are new to the extant literature moving forward the understanding of SM B2B marketing in theory and practice.

How does gender equity fare in the digital public sphere(s)? To understand the mechanism of the gender gap, this study analyzes the interaction of gender with class, age, and parenthood. With American national survey data, this research compares different types of online content production practices in this blurred digital public sphere(s). Findings show differences between men and women in five of six digital content creation activities. Women are more likely to consume online content; men are more likely to produce it. From more public blogging to more private chatting, inequality persists. Interactions with gender show (1) women from higher educational levels face more inequality compared to their male counterparts than do women from lower educational levels; (2) age is not a factor in the gender gap; and (3) generally, parental status fails to explain the production divide. Understanding the gender gap and its mechanisms can help ameliorate inequalities. Some argue that the Internet is a more egalitarian public platform for women while others find gender inequality. But neither body of research has attended to the blurring of the public and private spheres on the Internet.

The current study has three main purposes: (1) replicate results from prior framing effects studies on social media. To do so, the study examines the influence of news frames (free speech vs. public order) on participants' attitudes toward an alt-right rally (2) expand prior research by examining the emotional reaction of participants to these frames and (3) probe the moderating effects of face-to-face heterogenous talk and heterogenous social media feeds.

Drawing from theoretical concepts such as competitive framing, emotions and heterogeneity, the study uses a randomized online experiment. The study examines a conversation in a Twitter thread that includes both free speech and public order frames in the comments to the thread. The total number of participants was 275.

The results show that free speech versus public order frame did not impact attitudes of the participants toward the alt-right rally. Findings also show the significant main effects of free speech and public order frames and the interaction of exposure to heterogeneity on emotional reactions of outrage and anger toward the alt-right rally. These findings suggest that framing research needs to take social media features into consideration for a complete picture of framing effects on social media.

Using a classic framing effects experiment, the study includes variables relevant to social media discussions on Twitter and examined the moderating effects of heterogeneity on emotional reactions. In addition, one of the important methodological contributions of the current study are the framing manipulations for an externally valid experimental design.

Chinese internet literature (CIL) platforms afford freedom for creative expression and opportunities for direct interactions between writers and fans and among fans. Enabled by these platforms' technological and commercial arrangement, a new form of literary production and consumption has emerged, the most significant of which is the role of fans participation. A social network analysis of the interaction patterns in online fan communities was conducted to investigate fan communication activities at scale. Of particular interest is how the socio-technical system of the site influences its network topology.

Online forums for 10 popular fiction titles in Qidian, the leading CIL platform, were analyzed. Social networks were constructed based on a post–reply–reply threaded discussion structure. Various aspects of fan interactions were analyzed, including number of replies per post, post length and emerging network patterns.

Similarities in network topology shared by CIL fan forums and other online communities, such as small-world and scale properties, were discovered; however, distinct network dynamics were also identified. Consistent with previous findings, writers and moderators, along with a few highly ranked fans, occupied the central positions in the network. This was due to their social roles and the nature of their posts rather than, as the conventional explanation goes, preferential attachment.

The findings demonstrate how community-specific circumstances and norms influence interaction patterns and the resultant network structure. It was revealed that in the CIL sites, the users adopted the technologies in unexpected ways. And the resulting network topology can be attributed to the interplay between the sites' official arrangement and users' adaptive tactics.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0596.

The COVID-19 pandemic has spurred a concurrent outbreak of false information online. Debunking false information about a health crisis is critical as misinformation can trigger protests or panic, which necessitates a better understanding of it. This exploratory study examined the effects of debunking messages on a COVID-19-related public chat on WhatsApp in Singapore.

To understand the effects of debunking messages about COVID-19 on WhatsApp conversations, the following was studied. The relationship between source credibility (i.e. characteristics of a communicator that affect the receiver's acceptance of the message) of different debunking message types and their effects on the length of the conversation, sentiments towards various aspects of a crisis, and the information distortions in a message thread were studied. Deep learning techniques, knowledge graphs (KG), and content analyses were used to perform aspect-based sentiment analysis (ABSA) of the messages and measure information distortion.

Debunking messages with higher source credibility (e.g. providing evidence from authoritative sources like health authorities) help close a discussion thread earlier. Shifts in sentiments towards some aspects of the crisis highlight the value of ABSA in monitoring the effectiveness of debunking messages. Finally, debunking messages with lower source credibility (e.g. stating that the information is false without any substantiation) are likely to increase information distortion in conversation threads.

The study supports the importance of source credibility in debunking and an ABSA approach in analysing the effect of debunking messages during a health crisis, which have practical value for public agencies during a health crisis. Studying differences in the source credibility of debunking messages on WhatsApp is a novel shift from the existing approaches. Additionally, a novel approach to measuring information distortion using KGs was used to shed insights on how debunking can reduce information distortions.

This paper describes existing knowledge management (KM) tools and technologies in a historical context: where they have been, where they are now, and where they are going. It examines KM technologies in relation to early work done by Douglas Engelbart, subsequent developments in business and management, and recent technological advances. Finally, from this historical vantage point, the authors address the future of KM.

Recently, analyses of the characteristics of viral content in the social media field have attracted considerable attention. However, the influence of instant videos has grown significantly, and most social media platforms have begun to introduce them.

The authors conducted a series of independent-samples t-tests using a large-scale data set collected from the YouTube Shorts platform to identify the characteristics of popular instant videos and discussions surrounding them. The authors further analyzed how they differ from other viral content.

The results indicate that viewers leave varied variety of comments based on the topic of conversation in the community, rather than on the video itself. Furthermore, video producers and viewers attempt to reach a consensus in a straightforward and intuitive manner. All analyzed texts contained appropriate attitudes and tendencies according to their roles on the platform.

This study aimed to discover and understand the video and conversational characteristics of popular instant videos, which differ from the existing widely known viral content.