Exploring repost features of police-generated microblogs through topic and sentiment analysis

2019 ◽  
Vol 37 (4) ◽  
pp. 607-623 ◽  
Author(s):  
XiaoBo Tang ◽  
Shixuan Li ◽  
Na Gu ◽  
MingLiang Tan
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Information Diffusion ◽  
Social Media Analytics ◽  
Online Information ◽  
Police Departments ◽  
Content Type ◽  
New Findings ◽  
Topic Sentiment ◽  
High Level

Purpose This study aims to explore the repost features of microblogs acting to promote the information diffusion of government-generated content on social media. Design/methodology/approach This study proposes a topic−sentiment analysis using a mixed social media analytics framework to analyse the microblogs collected from the Sina Weibo accounts of 30 Chinese provincial police departments. On the basis of this analysis, this study presents the distribution of reposted microblogs and reveals the reposting characteristics of police-generated microblogs (PGMs). Findings The experimental results indicate that children’s safety and crime-related PGMs with a positive sentiment can achieve a high level of online information diffusion. Originality/value This study is novel, as it reveals the reposting features of PGMs from both a topic and sentiment perspectives, and provides new findings that can inspire users’ reposting behaviour.

Determinants of online intellectual capital disclosure by Spanish local governments

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yolanda Ramírez ◽  
Ángel Tejada ◽  
María Pilar Sánchez
Keyword(s):  
Social Media ◽  
Local Government ◽  
Intellectual Capital ◽  
Local Governments ◽  
Positive Influence ◽  
Online Information ◽  
Content Type ◽  
Body Of Knowledge ◽  
Regression Techniques ◽  
High Level

PurposeThis paper aims to investigate the extent of intellectual capital disclosure (ICD) through websites and social media in Spanish local government (SLG) and analyze the factors that explain their disclosure.Design/methodology/approachThe study applies content analysis and regression techniques. The ICD is analyzed for Spanish municipalities with more than 100,000 inhabitants and provincial capitals over a period from January 2018 to February 2020.FindingsFindings emphasize that the quantity of disclosed information on intellectual capital (IC) is in the low level, particularly with regard to human capital (HC). Furthermore, the results show that the information provided via social media mainly concerns the relational capital (RC). On the other hand, results obtained indicate that larger municipalities, with lower financial autonomy and whose citizens have a high income level use the online media (both websites and social media) more actively to disclose information about IC. Finally, municipalities led by women and with high level of citizens' education exert a positive influence in the ICD only on websites.Practical implicationsThis paper makes a number of key contributions to the existing body of knowledge, focusing on ICD, a neglected area in the public sector accounting literature. It explores and identifies the supply-side and demand-side determinants of information affecting the ICD in local governments. The results of this research could be useful for policymakers, regulators and governments' managers to improve the online information addressing ICD issues.Originality/valueThis paper adopts an innovative perspective by investigating the use of alternative tools for ICD in local government context (websites and social media). To the best of the authors’ knowledge, this is the first study that focuses on investigating the determinants of online ICD in local governments.

How does entrepreneurial orientation and SDG orientation of CEOs evolve before and during a pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hitesha Yadav ◽  
Arpan Kumar Kar ◽  
Smita Kashiramka
Keyword(s):  
Social Media ◽  
Attribution Theory ◽  
Entrepreneurial Orientation ◽  
Information Diffusion ◽  
Social Media Analytics ◽  
Sustainable Society ◽  
Content Type ◽  
Digital Platforms ◽  
The Sustainable Development ◽  
Media Reputation

PurposeAligning business innovation with the sustainable development goals (SDGs) creates immense opportunities to solve societal challenges along with business growth and productivity. This study aims to understand the evolution of Fortune firms' strategic addressing of SDG on social media as a step towards post-pandemic recovery. Using attribution theory as a theoretical lens, the authors try to investigate how entrepreneurial orientation (EO) and SDG orientation evolve with the crisis and affect the appreciation and advocacy of the SDG-related posts.Design/methodology/approachA mixed methodology of machine learning and Social media analytics such as content analysis, sentiment analysis and space–time analysis have been used, followed by multivariate analysis to validate the findings.FindingsAn evolution in CEOs’ strategic focus surrounding SDG dimensions was found, from economic in pre-pandemic phase to social and environment during the pandemic. The SDG disclosure on social media by the Fortune CEOs seems to have an influence on their social media reputation, whereas EO has no impact on social media reputation.Research limitations/implicationsWise practice of EO in information diffusion by CEOs on social media may lead to a healthy relationship with the stakeholders and better firm performance. The SDG adoption at organisation level contributes towards a sustainable society and helps tackling the challenges faced during the pandemic.Originality/valueThis study analyses the contribution of the Fortune firms to achieve a sustainable society in a pandemic environment by strategic adoption of SDGs and effective use of digital platforms.

Analyzing Twitter to explore perceptions of Asian restaurants

2016 ◽  
Vol 7 (4) ◽  
pp. 405-422 ◽  
Author(s):  
Seunghyun Brian Park ◽  
Jichul Jang ◽  
Chihyung Michael Ok
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Text Messages ◽  
Media Analysis ◽  
Food Culture ◽  
Social Media Analytics ◽  
Emotional States ◽  
Content Type ◽  
Different Types ◽  
Twitter Users

Purpose The purpose of this paper is to use Twitter analysis to explore diner perceptions of four types of Asian restaurants (Chinese, Japanese, Korean and Thai). Design/methodology/approach Using 86,015 tweets referring to Asian restaurants, this research used text mining and sentiment analysis to find meaningful patterns, popular words and emotional states in opinions. Findings Twitter users held mingled perceptions of different types of Asian restaurants. Sentiment analysis and ANOVA showed that the average sentiment scores for Chinese restaurants was significantly lower than the other three Asian restaurants. While most positive tweets referred to food quality, many negative tweets suggested problems associated with service quality or food culture. Research limitations/implications This research provides a methodology that future researchers can use in applying social media analytics to explore major issues and extract sentiment information from text messages. Originality/value Limited research has been conducted applying social media analysis in hospitality research. This study fills a gap by using social media analytics with Twitter data to examine the Twitter users’ thoughts and emotions for four different types of Asian restaurants.

Effectiveness of incentivized social media campaigns for a Fortune 500 company’s brand

2019 ◽  
Vol 34 (1) ◽  
pp. 37-56
Author(s):  
Muhammad Razi ◽  
J. Michael Tarn ◽  
Alhassan G. Mumuni
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Positive Impact ◽  
Fortune 500 ◽  
Social Media Analytics ◽  
Valuable Insight ◽  
Strong Impact ◽  
Content Type ◽  
Study Results

Purpose The purpose of this paper is to determine how best to build online advocates for a food company’s brand based on data available from the brand’s Facebook pages. Specific research objectives are to study examine whether incentivizing actions such as “liking,” sharing or commenting on a brand’s Facebook impacts the brand community’s sentiment and engagement with the brand, and whether such engagement is different for different actions (e.g. liking vs sharing). Design/methodology/approach To achieve the objectives of this research, sentiment analysis is performed on Facebook insight data from a Fortune 500 company, consisting of fans’ comments, shares and “likes” for promotional and fan posts pertaining to one of its brands. Paired samples t-tests are performed to assess differences in sentiment and engagement before and after each promotional post. Findings The results do not support a strong impact of promotional posts on overall sentiment. However, there is evidence in support of a positive impact of the campaigns on overall wall-level engagement with the brand. Moreover, the levels of engagement are not the same for all promotional posts. Rather, some posts resulted in much higher engagement levels than others, suggesting that not all incentivized campaigns are created equal. Research limitations/implications The study used the data from only one of company’s many brands. Therefore, similar studies on other brands are warranted. Practical implications Social networking sites are increasing in numbers, and more and more businesses are embracing social networks and/or blogs as part of their marketing platforms. Many companies offer coupons and incentives on social media to entice customers to engage with their social media platforms as well as buy products. The study results provide valuable insight into the effectiveness of different kinds of social media promotional campaigns, and can help managers decide which campaigns to implement to achieve specific objectives. Originality/value This research adds to the literature in two ways. First, it contributes to the limited literature on the effectiveness of incentivized social media campaign. Second, it contributes to the social media analytics literature by demonstrating how sentiment analysis can be used along with other statistical procedures to make sense of qualitative social media data.

A new approach of social media analytics to predict service quality: evidence from the airline industry

2019 ◽  
Vol 33 (1) ◽  
pp. 51-70 ◽  
Author(s):  
Xin Tian ◽  
Wu He ◽  
Chuanyi Tang ◽  
Ling Li ◽  
Hangjun Xu ◽  
...  
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Service Quality ◽  
Sentiment Analysis ◽  
Airline Industry ◽  
Social Media Analytics ◽  
Data Set ◽  
Social Media Data ◽  
Content Type ◽  
Media Data

Purpose Research on how to use social media data to measure and evaluate service quality is still limited. To fill the research gap in the literature, the purpose of this paper is to open a new avenue for future work to measure the service quality in the service industry by developing a new analytical approach of using social media analytics to evaluate service quality. Design/methodology/approach This paper uses social media data to measure the service quality of the airline industry with the SERVQUAL metrics. A novel benchmark data set was created for each SERVQUAL metric. The data set was analyzed through text mining and sentiment analysis. Findings By comparing the results from social media with official service quality report from the Department of Transportation, the authors found that the proposed service quality metrics from social media are valid and can be used to estimate the service quality. Practical implications This paper presents service quality metrics and a methodology that can be easily adopted by other businesses to assess service quality. This study also provides guidance and suggestions to help businesses understand how to collect and analyze social media data for the purpose of evaluating service quality. Originality/value This paper offers a novel methodology that uses text mining and sentiment analysis to help the airline industry assess its service quality.

scholarly journals Social media and sentiment in bioenergy consultation

2016 ◽  
Vol 10 (1) ◽  
pp. 87-98 ◽  
Author(s):  
Victoria Uren ◽  
Daniel Wright ◽  
James Scott ◽  
Yulan He ◽  
Hassan Saif
Keyword(s):  
Social Media ◽  
New Media ◽  
Sentiment Analysis ◽  
Opinion Mining ◽  
Public Consultation ◽  
Short Paper ◽  
Consultation Process ◽  
Content Type ◽  
The Public ◽  
The Uk

Purpose – This paper aims to address the following challenge: the push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organizations towards energy development projects. Design/methodology/approach – This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised and illustrated using a sample of tweets containing the term “bioenergy”. Findings – Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results. Research limitations/implications – Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector. Social implications – Social media have the potential to open access to the consultation process and help bioenergy companies to make use of waste for energy developments. Originality/value – Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.

Conspicuous consumption of luxury experiences: an experimental investigation of status perceptions on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carolin Siepmann ◽  
Lisa Carola Holthoff ◽  
Pascal Kowalczuk
Keyword(s):  
Social Media ◽  
Personal Characteristics ◽  
Conspicuous Consumption ◽  
Individual Characteristics ◽  
Luxury Goods ◽  
Content Type ◽  
The Status ◽  
Self Actualization ◽  
The Individual ◽  
High Level

Purpose As luxury goods are losing their importance for demonstrating status, wealth or power to others, individuals are searching for alternative status symbols. Recently, individuals have increasingly used conspicuous consumption and displays of experiences on social media to obtain affirmation. This study aims to analyze the effects of luxury and nonluxury experiences, as well as traditional luxury goods on status- and nonstatus-related dimensions. Design/methodology/approach After presenting the theoretical foundation, the authors conduct a study with 599 participants to compare status perceptions elicited by the conspicuous consumption of luxury goods, luxury experiences and nonluxury experiences. The authors investigate whether experiences that are visibly consumed on Instagram are replacing traditional luxury goods as the most important status symbols. Furthermore, the authors examine the effects of the content shown on nonstatus-related dimensions and analyze whether status perceptions differ between female and male social media communicators. Finally, the authors analyze how personal characteristics (self-esteem, self-actualization and materialism) influence the status perceptions of others on social media. Findings The results show that luxury goods are still the most important means of displaying status. However, especially for women, luxury experiences are also associated with a high level of social status. Thus, the results imply important gender differences in the perceptions of status- and nonstatus-related dimensions. Furthermore, the findings indicate that, in particular, the individual characteristics of self-actualization and materialism affect status perceptions depending on the posted content. Originality/value While the research has already considered some alternative forms of conspicuous consumption, little attention has been given to experiences as status symbols. However, with their growing importance as substitutes for luxury goods and the rise of social media, the desire to conspicuously consume experiences is increasing. The authors address this gap in the literature by focusing on the conspicuous display of luxury and nonluxury experiences on social media.

Public relations in the age of data: corporate perspectives on social media analytics (SMA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kathy R. Fitzpatrick ◽  
Paula L. Weissman
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Social Media Analytics ◽  
Content Type ◽  
The Public ◽  
Management Function ◽  
Use Of Social Media ◽  
The Impact ◽  
Corporate Brands ◽  
Depth Interviews

PurposeThe aim of this study was to understand how public relations leaders view and use social media analytics (SMA) and the impact of SMA on the public relations function.Design/methodology/approachThe research involved in-depth interviews with chief communication officers (CCOs) from leading multinational corporate brands.FindingsThe findings revealed that although CCOs perceive social media analytics as strategically important to the advancement of public relations, the use of social media data is slowed by challenges associated with building SMA capacity.Theoretical and practical implications – The research extends public relations theory on public relations as a strategic management function and provides practical insights for building SMA capabilities.Originality/valueThe study is among the first to provide empirical evidence of how companies are using social media analytics to enhance public relations efforts.

scholarly journals The Power of Social Media Analytics: Text Analytics Based on Sentiment Analysis and Word Clouds on R

2018 ◽  
Vol 22 (1/2018) ◽  
pp. 25-38
Author(s):  
Ahmed Imran KABIR ◽  
Ridoan KARIM ◽  
Shah NEWAZ ◽  
Muhammad Istiaque HOSSAIN
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Social Media Analytics ◽  
Text Analytics ◽  
Word Clouds

Destination image through social media analytics and survey method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael S. Lin ◽  
Yun Liang ◽  
Joanne X. Xue ◽  
Bing Pan ◽  
Ashley Schroeder
Keyword(s):  
Social Media ◽  
Survey Data ◽  
Destination Image ◽  
Social Media Analytics ◽  
Tourism Destination ◽  
Social Media Data ◽  
Content Type ◽  
Holistic Understanding ◽  
Intercept Survey ◽  
Media Data

Purpose Recent tourism research has adopted social media analytics (SMA) to examine tourism destination image (TDI) and gain timely insights for marketing purposes. Comparing the methodologies of SMA and intercept surveys would provide a more in-depth understanding of both methodologies and a more holistic understanding of TDI than each method on their own. This study aims to investigate the unique merits and biases of SMA and a traditional visitor intercept survey. Design/methodology/approach This study collected and compared data for the same tourism destination from two sources: responses from a visitor intercept survey (n = 1,336) and Flickr social media photos and metadata (n = 11,775). Content analysis, machine learning and text analysis techniques were used to analyze and compare the destination image represented from both methods. Findings The results indicated that the survey data and social media data shared major similarities in the identified key image phrases. Social media data revealed more diverse and more specific aspects of the destination, whereas survey data provided more insights in specific local landmarks. Survey data also included additional subjective judgment and attachment towards the destination. Together, the data suggested that social media data should serve as an additional and complementary source of information to traditional survey data. Originality/value This study fills a research gap by comparing two methodologies in obtaining TDI: SMA and a traditional visitor intercept survey. Furthermore, within SMA, photo and metadata are compared to offer additional awareness of social media data’s underlying complexity. The results showed the limitations of text-based image questions in surveys. The findings provide meaningful insights for tourism marketers by having a more holistic understanding of TDI through multiple data sources.

Sign in / Sign up

Export Citation Format

Share Document