Top management team social interaction and conservative reporting decision: A language style matching approach

What Constitutes a Helpful Health-Related Answer?

“…Third, the conclusions of our research further enhance the literature on the role of linguistic style matching in information value judgments. While some studies have recognized that high linguistic style matching contributes to enhancing fluency and increasing the helpfulness value of text in computer-mediated text-based communication (Yin et al, 2017;Zhang et al, 2021), there is a lack of research on the effectiveness of linguistic style matching specifically within the context of online Q&A communities. To our knowledge, our study is the first to examine the impact of linguistic style matching and provide empirical evidence in the context of online health Q&A communities.…”

“…To construct measures of these independent variables, we leveraged the latest version of Linguistic Inquiry and Word Count (the Chinese version), a language-analysis tool for investigating the relationship between word usage and psychological variables (Pennebaker et al, 2001). LIWC has been widely used in psychology literature and recently has been increasingly used in information systems and marketing literature (Yin et al, 2016;Wang et al, 2019), especially to quantify emotional expression and LSM in various types of user-generated content (Huang et al, 2017;Peng et al, 2020;Zhang et al, 2021).…”

“…Linguistic attribute congruence significantly influences readability and diagnosability for readers (Zhou et al, 2020;Yang et al, 2021). Many studies underscore the importance of congruence in linguistic attributes for facilitating processing, enhancing fluency, and fostering a common social identity (Zhou et al, 2020;Yang et al, 2021;Zhang et al, 2021). Furthermore, grasping the nuances of question-answer congruence in linguistic attributes and its effects on answer helpfulness is crucial for designing recommendation and prediction systems that leverage linguistic features.…”

“…To address these two research questions, we collected data from a leading online health Q&A community in China, and then we coded the variables using Linguistic Inquiry and Word Count (LIWC, Pennebaker et al, 2001), a tool that has been used in many fields, including information systems literature (Huang et al, 2017;Zhang et al, 2021). We applied a replier-level fixed-effects negative binomial regression model in the main test and addressed several possible endogeneity problems in the robustness check.…”

The influence of firm’s feedbacks on user-generated content’s linguistic style matching–An explanation based on communication accommodation theory

“…Secondly, previous research is dedicated to conventional variables such as e-WOM and intention to purchase, but not enough attention has been paid to matching linguistic styles in VBCs (Xiang et al, 2022). This paper also opens up new ideas for future research on VBCs, as LSM in VBCs is vital for cultivating a shared sense of community (Ludwig et al, 2014;Zhang et al, 2021) and even for further community prosperity. Third, relatively few empirical studies on secondary data on how to dynamic change LSM in VBCs.…”