A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS

2020 ◽  
pp. 1-23
Author(s):  
Wingyan Chung ◽  
Elizabeth Mustaine ◽  
Daniel Zeng
Keyword(s):  
Social Media ◽  
Knowledge Creation ◽  
Empirical Studies ◽  
Business Analytics ◽  
Computational Framework

‘Eww wtf, what a dumb bitch’: a case study of similitudes inside gender-specific swearing patterns on Twitter

Corpora ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 31-61
Author(s):  
Michael Gauthier
Keyword(s):  
Social Media ◽  
Empirical Studies ◽  
Everyday Lives ◽  
English Speaking ◽  
Gender Specific ◽  
The Way

Contrary to the idea which has been widespread for at least a hundred years that women differ substantially from men when they express themselves in English-speaking contexts (e.g., Jespersen, 1922 ; and Steadman, 1935 ), empirical studies have shown that these differences are often minimal and are not due to gender alone (e.g., Eckert, 2008 ; and Baker, 2014 ). This also frequently applies to the way they swear, despite certain preferences which have been documented in empirical studies. With the growing impact that social media now has in our everyday lives, these represent a unique opportunity to study vast quantities of written data. This paper is based on a corpus of about one-million tweets and is an attempt to delve deeper into the analysis of gendered swearword habits. First, the goal is to show that even if there are certain gendered preferences in terms of the choice of swearwords, women and men frequently display similar patterns in using them, thus reinforcing the idea that they are not so linguistically different. Secondly, this paper provides insights into how collocational networks can be used to achieve this, and thus how focussing on differences can be one way to spot similarities across two sub-corpora.

scholarly journals The Rise of Political Influencers— Perspectives on a Trend Towards Meaningful Content

2021 ◽  
Vol 6 ◽  
Author(s):  
Magdalena Riedl ◽  
Carsten Schwemmer ◽  
Sandra Ziewiecki ◽  
Lisa M. Ross
Keyword(s):  
Social Media ◽  
Political Communication ◽  
Political Ideology ◽  
Empirical Studies ◽  
Political Engagement ◽  
Opinion Leaders ◽  
Important Research ◽  
Conspiracy Theories ◽  
The Past ◽  
Important Research Topic

Despite an increasing information overflow in the era of digital communication, influencers manage to draw the attention of their followers with an authentic and casual appearance. Reaching large audiences on social media, they can be considered as digital opinion leaders. In the past, they predominantly appeared as experts for topics like fashion, sports, or gaming and used their status to cooperate with brands for marketing purposes. However, since recently influencers also turn towards more meaningful and political content. In this article, we share our perspective on the rise of political influencers using examples of sustainability and related topics covered on Instagram. By applying a qualitative observational approach, we illustrate how influencers make political communication look easy, while at the same time seamlessly integrating product promotions in their social media feeds. In this context, we discuss positive aspects of political influencers like contributions to education and political engagement, but also negative aspects such as the potential amplification of radical political ideology or conspiracy theories. We conclude by highlighting political influencers as an important research topic for conceptual and empirical studies in the future.

scholarly journals Social Media and Community Involvement in Museums. A case study of a local history wiki community

1970 ◽  
pp. 3 ◽  
Author(s):  
Dagny Stuedahl
Keyword(s):  
Social Media ◽  
Cultural Heritage ◽  
Web 2.0 ◽  
Community Involvement ◽  
Knowledge Creation ◽  
Digital Technologies ◽  
Local History ◽  
Historical Knowledge

The article focuses on a study of knowledge creation and organizing in a local history wiki. The background for this study was to understand how web 2.0 and social media might open new possibilities for museums to collaborate with communities and lay professionals in cultural heritage knowledge creation. Digital technologies provide tools that in many ways overcome challenges of physical collaboration between museums and amateurs. But technologies also bring in new aspects of ordering, categorizing and systematizing knowledge that illuminates the different institutional as well as professional frameworks that writing local historical knowledge into digital forms in fact represents. 

scholarly journals A Preliminary Scoping Review Study of the Progress of Social Media Adoption as an Educational Tool by Academics in Higher Education

2018 ◽  
Vol 2 ◽  
Author(s):  
Eva Perez ◽  
Mairead Brady
Keyword(s):  
Higher Education ◽  
Systematic Review ◽  
Social Media ◽  
Scoping Review ◽  
Academic Staff ◽  
Empirical Studies ◽  
Pedagogical Issues ◽  
Educational Tool ◽  
Scoping Study ◽  
Time Investment

This paper presents a preliminary scoping review exploring the evidence landscape regarding academic staff experiences and perceptions of social media adoption as an educational tool in higher education. The goal of this paper is to examine 10 empirical studies of social media adoption in teaching and learning by academics in preparation for a proposal for a systematic literature review. Consequently, this scoping study assisted in the development of a review protocol which established the inclusion and exclusion criteria for conducting this systematic review at a future date. This paper will present the first stage of carrying out a systematic review: planning the review and presenting the results of the scoping study. The findings of this scoping study revealed that academics are slow in adopting social media within teaching and academics that have adopted the use of social media do so primarily for sharing relevant information and resources easily with students rather than for teaching purposes. Overall, the adoption of social media as an educational tool is faced with many challenges, such as cultural resistance, pedagogical issues, lack of institutional support and time investment. The results also indicate that teaching styles, demographic factors, privacy issues and previous experience can influence academic staff’s decision to adopt social media for teaching purposes.

scholarly journals Real Time Data Pipeline for Twitter Trends Analysis

2021 ◽  
Vol 7 (05) ◽  
pp. 44-48
Author(s):  
Mukesh Kumar Sah., Rishabh Sharma & Amritpal Singh
Keyword(s):  
Social Media ◽  
Business Analytics ◽  
Time Data ◽  
Medical Field ◽  
Business Decisions ◽  
Data Pipeline ◽  
The Social ◽  
Enormous Amount ◽  
Healthcare Technologies ◽  
Trending Topics

In social media, Information is present in enormous amount. Extracting data from processed information from social media gives us diverse usages in various fields. In the field of Business Analytics, HealthCare, Technologies and Trending Topics in Social Media posted by the user. Extracting information from social media is providing number of benefits such as knowledge about the latest Technology, Medical field, Business Decisions, etc. Twitter is solitary of the social media which allows the user post tweets of limited number of characters and share the tweet to their followers. Twitter allows application developer to access the tweets for their motive. In the implemented methodology, Tweets are collected, and sentiment analysis is performed on them. Based on the results of sentimental analysis of Trending Topics in Twitter, suggestions can be provided to the user. In this way, the implemented system can help in improving the growth of business, healthcare, technologies and alsoNegative or Positive mentions of a product or service can be determined.

Social media as tool for facilitating knowledge creation and innovation in small and medium enterprises

2018 ◽  
Vol 13 (3) ◽  
pp. 329-344 ◽  
Author(s):  
Armando Papa ◽  
Gabriele Santoro ◽  
Lia Tirabeni ◽  
Filippo Monge
Keyword(s):  
Social Media ◽  
Knowledge Creation ◽  
Small And Medium Enterprises ◽  
Theoretical Perspective ◽  
Innovation Process ◽  
Digital Tool ◽  
Content Type ◽  
Media Usage ◽  
Medium Enterprises ◽  
The Impact

Purpose The purpose of this paper is to study the effects of social media usage on four knowledge creation processes, namely socialisation, externalisation, combination and internalisation, and innovation in small and medium enterprises (SMEs). Design/methodology/approach A sample of 96 SMEs has been used to gather data through a standardised questionnaire and test the hypotheses through OLS regression models. Findings The results indicate that social media influence positively three out of four knowledge creation processes and that they help to foster the innovation process. Originality/value From a theoretical perspective, the study contributes to literature considering a specific digital tool and its effect on knowledge creation and innovation. In fact, a few studies have considered the impact of social media usage on other variables, such as ROI and productivity, but never on knowledge creation and innovation through a quantitative study. From a managerial perspective, the research suggests managers to implement and involve social media within business and innovation processes.

Social Media and Identity

2019 ◽  
pp. 1365-1386
Author(s):  
Erika Melonashi
Keyword(s):  
Social Media ◽  
Identity Development ◽  
Identity Formation ◽  
Political Identity ◽  
Empirical Studies ◽  
Future Research ◽  
Theoretical Frameworks ◽  
The Relationship ◽  
Media And Identity

The present chapter aims to explore the relationship between social media and identity by reviewing theoretical frameworks as well as empirical studies on the topic. Considering the complexity of the concept of identity, a multidisciplinary theoretical approach is provided, including Psychological Theories, Sociological Theories and Communication Theories. These theories are revisited in the context of online identity formation and communication through social media. Different aspects of identity such as gender identity, professional identity, political identity etc., are discussed and illustrated through empirical studies in the field. Moreover, the role of social media as a factor that might either promote or hinder identity development is also discussed (e.g., phenomena such as cyber-bulling and internet addiction). Finally recommendations and suggestions for future research are provided, including the need for multidisciplinary theoretical frameworks to the investigation of the relationships between social media and identity.

Machine Learning for Business Analytics

2021 ◽  
pp. 232-256
Author(s):  
Kağan Okatan
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Machine Learning Algorithms ◽  
Decision Makers ◽  
Business Analytics ◽  
Business Intelligence Systems ◽  
Long Time ◽  
Rules Of The Game

All these types of analytics have been answering business questions for a long time about the principal methods of investigating data warehouses. Especially data mining and business intelligence systems support decision makers to reach the information they want. Many existing systems are trying to keep up with a phenomenon that has changed the rules of the game in recent years. This is undoubtedly the undeniable attraction of 'big data'. In particular, the issue of evaluating the big data generated especially by social media is among the most up-to-date issues of business analytics, and this issue demonstrates the importance of integrating machine learning into business analytics. This section introduces the prominent machine learning algorithms that are increasingly used for business analytics and emphasizes their application areas.

Online Service Failure and Recovery Strategy

2016 ◽  
pp. 112-135 ◽  
Author(s):  
Yllka Azemi ◽  
Wilson Ozuem
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Service Failure ◽  
Empirical Studies ◽  
Online Marketing ◽  
Limited Attention ◽  
Service Failures ◽  
Service Failure And Recovery ◽  
Recovery Strategies ◽  
Social Media Platforms

The Internet environment has transformed the concepts of service failure and recovery strategies from a dyadic customer-provider focus into a multidimensional web quality scope. In traditional encounters, the research spectrum of service failure and recovery strategies is very much developed from a customer service approach, and the responsibility of recovery has been traditionally assumed to be something that is assigned to the marketer. Studies pay little or no attention to the multidimensional nature of service failures contingent to recovery strategies in the evolving social media. To date, empirical studies have focused on service failures and recovery strategies in online marketing environments, but pay limited attention to social media platforms. This paper aims to provide some insights on the need for a broader conceptualisation of service failure and recovery strategies, incorporating social media platforms for the development of effective marketing communications programme.

scholarly journals Evaluating Sampling Methods for Content Analysis of Twitter Data

2018 ◽  
Vol 4 (2) ◽  
pp. 205630511877283 ◽  
Author(s):  
Hwalbin Kim ◽  
S. Mo Jang ◽  
Sei-Hill Kim ◽  
Anan Wan
Keyword(s):  
Social Media ◽  
South Carolina ◽  
Sample Size ◽  
Random Sampling ◽  
Sampling Methods ◽  
Empirical Studies ◽  
Simple Random Sampling ◽  
Media Content ◽  
Twitter Data ◽  
Gubernatorial Election

Despite the existing evaluation of the sampling options for periodical media content, only a few empirical studies have examined whether probability sampling methods can be applicable to social media content other than simple random sampling. This article tests the efficiency of simple random sampling and constructed week sampling, by varying the sample size of Twitter content related to the 2014 South Carolina gubernatorial election. We examine how many weeks were needed to adequately represent 5 months of tweets. Our findings show that a simple random sampling is more efficient than a constructed week sampling in terms of obtaining a more efficient and representative sample of Twitter data. This study also suggests that it is necessary to produce a sufficient sample size when analyzing social media content.

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