Neuromarketing, Ethics, and Regulation: An Exploratory Analysis of Consumer Opinions and Sentiment on Blogs and Social Media

Author(s):  
C. Luna-Nevarez
First Monday ◽  
2014 ◽  
Author(s):  
Martin Hentschel ◽  
Omar Alonso

The popularity of Twitter goes beyond trending topics, world events, memes, and popular hashtags. Recently a new way of sharing financial information is taking place in social media under the name of cashtags, stock ticker symbols that are prefixed with a dollar sign. In this paper we present an exploratory analysis of cashtags on Twitter. Specifically, we investigate how widespread cashtags are, what stock symbols are tweeted more often, and which users tweet about cashtags in general. We analyze relationships among cashtags and study hashtags in the context of cashtags. Finally, we compare tweet performance to stock market performance. We conclude that cashtags, in particular in combination with other cashtags or hashtags, can be very useful for analyzing financial information and provide new insights into stocks and companies.


2015 ◽  
Vol 31 (2) ◽  
pp. 283-304 ◽  
Author(s):  
Vanessa Torres van Grinsven ◽  
Ger Snijkers

Abstract The perceptions and sentiments of business respondents are considered important for statistical bureaus. As perceptions and sentiments are related to the behavior of the people expressing them, gaining insights into the perceptions and sentiments of business respondents is of interest to understand business survey response. In this article we present an exploratory analysis of expressions in the social media regarding Statistics Netherlands. In recent years, social media have become an important infrastructure for communication flows and thus an essential network in our social structure. Within that network participants are actively involved in expressing sentiments and perceptions. The results of our analysis provide insights into the perceptions and sentiments that business respondents have of this national statistical institute and specifically its business surveys. They point towards the specific causes that have led to a positive or a negative sentiment. Based on these results, recommendations aimed at influencing the perceptions and sentiments will be discussed, with the ultimate goal of stimulating survey participation. We also suggest recommendations regarding social media studies on sentiments and perceptions of survey respondents.


2021 ◽  
Vol 09 (03) ◽  
pp. 350-362
Author(s):  
Jeffrey A. Gibbons ◽  
Sherman A. Lee ◽  
Luke P. Fernandez ◽  
Emma D. Friedmann ◽  
Kaylee D. Harris ◽  
...  

The fading affect bias (FAB) is a robust phenomenon where unpleasant affect fades faster than pleasant affect. The FAB is believed to be coping mechanism designed to make life appear pleasant in the face of hardships and adversities. The FAB persists across several cultures and many event types (e.g., alcohol, religious, and death), even though low FAB has been demonstrated for social media events, videogame events, and events labeled as religious, but not spiritual. Although religion is also believed to make life more satisfying by providing existential meaning and social connectedness for their followers, research to date, has not examined religious differences in the FAB. Therefore, we examined the FAB using 2 measures of fading affect across participants’ self-reported religious affiliations and we found robust FAB effects for all categories except for an extremely small sample of Islamic followers. The FAB effects were strongest for Jewish and Buddhist affiliations and they were weakest for participants who did not report a well-known religious affiliation. The findings extend the literature on the FAB to religious belief systems. Future research should replicate the current study, examine the FAB for larger samples of Muslims, Buddhists, Hindus, and Jews, and test explanations for differential FAB effects across religious affiliations.


Author(s):  
Pedro Álvaro Pereira Correia ◽  
Irene García Medina ◽  
Zahaira Fabiola González Romo

The emergence of social networks has revolutionized the way people communicate and share information. Consequently, it becomes important to analyze the role of these models of collaboration and innovation through social networks in the strategic vision of the responsibility of marketing and communication in tourism industries, mainly the role of Facebook in e-business actions. This chapter presents a qualitative and exploratory analysis of the individuals in the virtual context of the social media, their behaviors, reactions, and attitudes, to perceive which social factors can enhance the appearance of competitive advantages for the organizations. There was a predilection for companies with a greater international connection at the level of clients and also at the level of the operation because there was a predominance of companies related to the tourism sector of Madeira.


Author(s):  
H. Andrew Schwartz ◽  
Lyle H. Ungar

Researchers have long measured people’s thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and partially automatic content analysis techniques and illustrate how their use on social media generates insights into subjective well-being, health, gender differences, and personality.


2018 ◽  
Vol 18 (5) ◽  

Information artifacts in social media can have significant impact on domains and subject matter opinions. Asset prices, stock prices and volumes, and metrics are influenced by turbulence in their information ecosystems. Analyses of digital information networks and social media information events have shown information artifacts to affect stock performance without consistent correlation to fundamentals. Thus it becomes important to dispel ambiguity and gain insights into how the sentiments associated with information artifacts in Twitter (due to its extensive usage in relevant signaling), are associated with equity movements. Using an exploratory analysis to study tweet sentiment, we link stock price variations, and explore associated metrics. Our tweets analytics deploying textual analytics, identifies forms in tweet behavior and sentiment shifts.


2016 ◽  
Author(s):  
Glen Coppersmith ◽  
Kim Ngo ◽  
Ryan Leary ◽  
Anthony Wood

Author(s):  
Eveline Vlassenroot ◽  
Sally Chambers ◽  
Sven Lieber ◽  
Alejandra Michel ◽  
Friedel Geeraert ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document