Sentiment dynamics in social media news channels

Kumar, Nagendra; Nagalla, Rakshita; Marwah, Tanya; Singh, Manish

doi:10.1016/j.osnem.2018.10.004

Cited by 24 publications

(8 citation statements)

References 33 publications

(39 reference statements)

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“…In a situation where quality information is limited, consumers tend to rely on others when making decisions. This is particularly prevailing when the information sought after is related to severe events, as individuals psychologically gravitate towards negative news, rather than positive content (Kumar et al, 2018). This negative bias was observed by Trussler and Soroka (2014) where eye-tracking data that suggested research participants leaned towards negative cues.…”

Section: Herd Mentality: Panic Buying During Covid-19mentioning

confidence: 98%

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Supply chain insights from social media users’ responses to panic buying during COVID-19: the herd mentality

Wilk

Roni

Jie

2022

APJML

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PurposeThis study applied the herd mentality theory to explore local and global social media users’ responses to panic buying across the USA, UK and Australia during the COVID-19 crisis to understand the implications on operations and supply chains.Design/methodology/approachA total of 208,806 social media user-generated content (UGC) pieces were collected from Twitter in three countries – the USA, UK and Australia. The analysis of this big qualitative data was performed using machine learning–based software – Leximancer.FindingsPositive and negative sentiment towards panic buying during the COVID-19 crisis was observed in the UGC. No significant differences in social media UGC sentiment between the three countries were found; however, differences did exist in key themes. This suggests that the focus, not the sentiment, of consumers’ responses to panic buying differed across countries. Social media users follow their location-based and topic-consonant social “herd”, rather than the global “herd”.Research limitations/implicationsThis study was the first to show that social media users’ herd mentality differs in a crisis. The herd mentality of social networks is dependent on factors such as the geographic location of the social network (herd), which can differ from the global herd’s reaction, specifically in terms of topics evident in UGC.Practical implicationsOperations and supply chain managers need to include social media UGC analysis in their strategies in crisis management responses. The topics, not the sentiment, of consumers’ responses to panic buying require managerial actions.Originality/valueThis is the first study to show that herd mentality during a crisis, such as COVID-19, is not unidimensional and varies according to the location of the social media network with profound implications for operations and supply chain managers.

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Section: Herd Mentality: Panic Buying During Covid-19mentioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

Supply chain insights from social media users’ responses to panic buying during COVID-19: the herd mentality

Wilk

Roni

Jie

2022

APJML

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“…For example, studying the risks of affecting the content of news posed by corporations like Google and Facebook which provide tools and audience for digital news (Nechushtai, 2017). Or looking at the ways digital news is using sentiment to attract audience focusing on all types of media, not just TV (Kumar et al, 2018). Or understanding the specifics of universal channels' behavior on social networks.…”

Section: Karina Chobanyanmentioning

confidence: 99%

Undergraduate students and time spent on social networking sites: A study of the University of Port Harcourt, Nigeria

Aduloju¹

2020

World of Media

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“…Social media is used not only for interactions between users, but also as a source of information as stated by Hamid et al (2016), in that social media is a source of various kinds of information used every day. In addition to personal benefit, social media is also used for campaigns in US presidential elections (Lee & Xenos, 2019), news channels (Kumar et al, 2018), and lecture education (Stathopoulou, Siamagka, & Christodoulides, 2019). Nowadays the use of social media is the most important digital media channel at 79% compared to search engines, which only reach 73% (Solomon, 2018).…”

Section: Introductionmentioning

confidence: 99%

Effect of Gaze and Product Salience on Digital Visual Engagement: An Experimental Research

Andreas¹,

Irawan²,

Rahman³

2022

Eligible

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This study investigates the effects of gaze and product salience in visual content, which can build engagement on social media. The variables used were visual social semiotics, digital visual engagement, attitude, and the purchase intention. Two hundred participants were recruited using Amazon Mechanical Turk. To see the interaction between gaze and product salience, a 2x2 experimental design was used. Regression was used to see the relationship between digital visual engagement with attitude and purchase intention. This study offers empirical evidence that there is an interaction between gaze and product salience on digital visual engagement, with a positive effect on digital visual engagement from the direct gaze and high product salience condition. Furthermore, this study found a relationship between digital visual engagement with attitude and purchase intention. The results show that digital visual engagement positively influences attitude and purchase intention. This hypothesis is tested on a single product category. Further studies might replicate this experiment with other products, visual content, online platforms, and factors based on visual social semiotics theory. This study offers managers knowledge on making visual content that will produce more engagement, especially in social media ads, which can influence the attitude and purchase intention of their audience.

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Sentiment dynamics in social media news channels

Cited by 24 publications

References 33 publications

Supply chain insights from social media users’ responses to panic buying during COVID-19: the herd mentality

Supply chain insights from social media users’ responses to panic buying during COVID-19: the herd mentality

Undergraduate students and time spent on social networking sites: A study of the University of Port Harcourt, Nigeria

Effect of Gaze and Product Salience on Digital Visual Engagement: An Experimental Research

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