Crossing the chasm between green corporate image and green corporate identity: a text mining, social media-based case study on automakers

2021 ◽  
pp. 1-24
Author(s):  
Saman Mirzaie Saran ◽  
Sajjad Shokouhyar
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Corporate Identity ◽  
Corporate Image

scholarly journals Samsung’s crisis communication response: Ineffective response strategies across traditional and social media platforms

2021 ◽  
Author(s):  
Bethlehem Dejene
Keyword(s):  
Social Media ◽  
Image Restoration ◽  
Crisis Communication ◽  
Communication Theory ◽  
Crisis Response ◽  
Corporate Image ◽  
Depth Analysis ◽  
Restoration Strategies ◽  
High Level

When reports surfaced in 2016 of complications with Samsung’s latest product release, the Galaxy Note 7, Samsung faced a significant threat to its corporate image. This MRP explores Samsung’s traditional and social media crisis responses to the explosions of consumers’ Note 7 devices. Through an in-depth analysis of Samsung’s traditional media newspaper apology ads and press statements, coupled with audience comments about the brand on YouTube, this case study analyzes how the brand incorporated two prominent theories of crisis communication, Situational Crisis Communication Theory (SCCT) and Image Restoration Theory (IRT). Through a study of Samsung’s traditional crisis response, a newspaper apology advertisement and three website press statements, this case study uncovers which strategies of SCCT and IRT were practiced. Specifically, this research study highlights image restoration strategies such as corrective action, mortification, and minimization. Similarly, the corporation wrongfully employed diminish strategies, opposed to rebuild strategies which coupled with the vague language and inconsistency of the information shared in its communications response to emerge public reactions, with consumers refusing to purchase their products in the future. However, due to its high level of reputational capital as a world class smartphone distributor, in just nine months’consumers recommitted their loyalty to organisation had recuperated its once tarnished image.

Application of social media analytics: a case of analyzing online hotel reviews

2017 ◽  
Vol 41 (7) ◽  
pp. 921-935 ◽  
Author(s):  
Wu He ◽  
Xin Tian ◽  
Ran Tao ◽  
Weidong Zhang ◽  
Gongjun Yan ◽  
...  
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Content Type ◽  
Customer Reviews ◽  
Analysis Techniques ◽  
Online Customer Reviews ◽  
Media Data

Purpose Online customer reviews could shed light into their experience, opinions, feelings, and concerns. To gain valuable knowledge about customers, it becomes increasingly important for businesses to collect, monitor, analyze, summarize, and visualize online customer reviews posted on social media platforms such as online forums. However, analyzing social media data is challenging due to the vast increase of social media data. The purpose of this paper is to present an approach of using natural language preprocessing, text mining and sentiment analysis techniques to analyze online customer reviews related to various hotels through a case study. Design/methodology/approach This paper presents a tested approach of using natural language preprocessing, text mining, and sentiment analysis techniques to analyze online textual content. The value of the proposed approach was demonstrated through a case study using online hotel reviews. Findings The study found that the overall review star rating correlates pretty well with the sentiment scores for both the title and the full content of the online customer review. The case study also revealed that both extremely satisfied and extremely dissatisfied hotel customers share a common interest in the five categories: food, location, rooms, service, and staff. Originality/value This study analyzed the online reviews from English-speaking hotel customers in China to understand their preferred hotel attributes, main concerns or demands. This study also provides a feasible approach and a case study as an example to help enterprises more effectively apply social media analytics in practice.

scholarly journals Text Mining for Social Research: A Reddit-based Case Study of George Floyd

2020 ◽  
Author(s):  
Marina Wiebe
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Online Communities ◽  
Social Research ◽  
Public Forum ◽  
The World

Social media sources such as Reddit allow for a large public forum to share opinions and ideas. The discussions in these online communities often reflect events occurring around the world. These discussions can also be influenced and shaped by the participation of political figures online. Using Reddit's public API, comments were scraped in prominent policing related Subreddits during the week of George Floyd's death to understand how his death and Donald's Trump's response to the subsequent rioting influenced the tone of discussion.

scholarly journals Implementation Of Text Mining For Emotion Detection Using The Lexicon Method (Case Study: Tweets About Covid-19)

Telematika ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 49
Author(s):  
Agus Sasmito Aribowo ◽  
Siti Khomsah
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Emotion Detection ◽  
Public Sentiment ◽  
Twitter Users

Information and news about Covid-19 received various responses from social media users, including Twitter users. Changes in netizen opinion from time to time are interesting to analyze, especially about the patterns of public sentiment and emotions contained in these opinions. Sentiment and emotional conditions can illustrate the public's response to the Covid-19 pandemic in Indonesia. This research has two objectives, first to reveal the types of public emotions that emerged during the Covid-19 pandemic in Indonesia. Second, reveal the topics or words that appear most frequently in each emotion class. There are seven types of emotions to be detected, namely anger, fear, disgust, sadness, surprise, joy, and trust. The dataset used is Indonesian-language tweets, which were downloaded from April to August 2020. The method used for the extraction of emotional features is the lexicon-based method using the EmoLex dictionary. The result obtained is a monthly graph of public emotional conditions related to the Covid-19 pandemic in the dataset.

scholarly journals Samsung’s crisis communication response: Ineffective response strategies across traditional and social media platforms

2021 ◽  
Author(s):  
Bethlehem Dejene
Keyword(s):  
Social Media ◽  
Image Restoration ◽  
Crisis Communication ◽  
Communication Theory ◽  
Crisis Response ◽  
Corporate Image ◽  
Depth Analysis ◽  
Restoration Strategies ◽  
High Level

When reports surfaced in 2016 of complications with Samsung’s latest product release, the Galaxy Note 7, Samsung faced a significant threat to its corporate image. This MRP explores Samsung’s traditional and social media crisis responses to the explosions of consumers’ Note 7 devices. Through an in-depth analysis of Samsung’s traditional media newspaper apology ads and press statements, coupled with audience comments about the brand on YouTube, this case study analyzes how the brand incorporated two prominent theories of crisis communication, Situational Crisis Communication Theory (SCCT) and Image Restoration Theory (IRT). Through a study of Samsung’s traditional crisis response, a newspaper apology advertisement and three website press statements, this case study uncovers which strategies of SCCT and IRT were practiced. Specifically, this research study highlights image restoration strategies such as corrective action, mortification, and minimization. Similarly, the corporation wrongfully employed diminish strategies, opposed to rebuild strategies which coupled with the vague language and inconsistency of the information shared in its communications response to emerge public reactions, with consumers refusing to purchase their products in the future. However, due to its high level of reputational capital as a world class smartphone distributor, in just nine months’consumers recommitted their loyalty to organisation had recuperated its once tarnished image.

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