作者: Claire Monique Segijn , Ewa Maslowska , Theo Araujo , Vijay Viswanathan
DOI: 10.1108/INTR-08-2018-0389
关键词: Sentiment analysis 、 Online and offline 、 Tv viewing 、 Social media 、 Second screen 、 Consumption (economics) 、 Content (Freudian dream analysis) 、 Advertising 、 Meaning (linguistics) 、 Psychology
摘要: The purpose of this paper is to explore the interrelationship between television (TV) consumption (viewing ratings), engagement behaviors different actors on Twitter (TV programs, media, celebrities and viewers) content (affective, program-related social content).,TV ratings data were obtained. tweets was analyzed by means a sentiment analysis. A vector auto regression model used understand TV consumption.,First, results showed negative viewing viewers’ tweeting behavior. Second, media exhibited similar patterns both affected mostly number viewers. Finally, matters. Affective positively relate viewing, relates viewers.,The findings help us online ecosystem provide insights into drivers actors.,The indicate that producers may want focus stimulating affective conversations trigger more offline engagement. also call for rethinking meaning metrics.,While some studies have explored viewer interactions Twitter, only few looked at effects such variables outside as consumption. Moreover, authors study interrelations with consumption, which allows examine effect vice versa. take account when studying real-life