Han Woo Park

This study investigates whether news sentiment plays a role in setting social media sentiment to explore the dynamics of sentiment develop and diffusion within the public agenda. Based on the agenda-setting theory, this study analyzed the public and media sentiments towards the 2016 US election and the candidates using data from Twitter, CNN, and Fox News. Focusing on the Twitter messages created by the supporters of Hillary Clinton and Donald Trump, over 1.3 million Twitter messages were collected associated with the election, employing hashtags as indicators of support. The Granger causality test between social media and news sentiments revealed that there is a mutual influence between social media and news sentiments; CNN’s overall sentiment was influenced by the sentiment of Hillary Clinton’s supporters, whereas Trump supporters’ sentiment was influenced by Fox News’ negative sentiment. The results suggest that public sentiment is formed in response to public agenda and mass media, indicating that sentiment is a critical component in understanding public opinion. Implications for future studies and limitations are also discussed.

Quadruple collaboration has risen rapidly in place of the traditional triple helix model of institutional collaboration between universities, governments, and companies. Loet Leydesdorff and Helen Lawton Smith (2022) approach this challenge by aiming to resolve the issue of evaluating and analyzing various quadruple and n-tuple helices. This article seeks to recognize the increasing complexity of new and developing issues in quadruple and n-tuple helices as a response to their research. Higher order helices raise a number of important scientific difficulties, including conceptual and practical issues. The goal of this contribution is to highlight some of the major challenges involved with researching multiple helixes in terms of knowledge innovation, as well as to offer some alternative areas for future research on n-tuple helices measurement.