Can large language models transform computational social science?
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
Branding with social media: User gratifications, usage patterns, and brand message content strategies
Q Gao, C Feng - Computers in Human Behavior, 2016 - Elsevier
The emergence of social media provides a new platform for develo** brand–consumer
relationships. The aim of the current study is to examine the differences in Chinese users' …
relationships. The aim of the current study is to examine the differences in Chinese users' …
Knowledge exchange and symbolic action in social media-enabled electronic networks of practice
R Beck, I Pahlke, C Seebach - MIS quarterly, 2014 - JSTOR
Organizational knowledge is one of the most important assets of an enterprise. Therefore,
many organizations invest in enterprise social media (ESM) to establish electronic networks …
many organizations invest in enterprise social media (ESM) to establish electronic networks …
User characterization for online social networks
Online social network analysis has attracted great attention with a vast number of users
sharing information and availability of APIs that help to crawl online social network data. In …
sharing information and availability of APIs that help to crawl online social network data. In …
Role-aware information spread in online social networks
Understanding the complex process of information spread in online social networks (OSNs)
enables the efficient maximization/minimization of the spread of useful/harmful information …
enables the efficient maximization/minimization of the spread of useful/harmful information …
" Who's out there?" identifying and ranking lurkers in social networks
The massive presence of silent members in online communities, the so-called lurkers, has
long attracted the attention of researchers in social science, cognitive psychology, and …
long attracted the attention of researchers in social science, cognitive psychology, and …
Lurking in social networks: topology-based analysis and ranking methods
The massive presence of silent members in online communities, the so-called lurkers, has
long attracted the attention of researchers in social science, cognitive psychology, and …
long attracted the attention of researchers in social science, cognitive psychology, and …
From object to flow: Network sensibility, symbolic interactionism, and social media
This article discusses how certain sensibilities and techniques from a network perspective
can facilitate different levels of thinking about symbolic interaction in mediated contexts. The …
can facilitate different levels of thinking about symbolic interaction in mediated contexts. The …
Time-aware analysis and ranking of lurkers in social networks
Mining the silent members of an online community, also called lurkers, has been recognized
as an important problem that accompanies the extensive use of online social networks …
as an important problem that accompanies the extensive use of online social networks …
Searching for answers--knowledge exchange through social media in organizations
C Seebach - 2012 45th Hawaii International Conference on …, 2012 - ieeexplore.ieee.org
Organizations need information systems that facilitate the exchange between knowledge
seekers and contributors in order to manage knowledge successfully. As prior research …
seekers and contributors in order to manage knowledge successfully. As prior research …