scholarly journals “The Social Media Blue Bird Creating an Online Sensation”: A Sentimental Analysis with Reference to Coke-studio Hashtags

2019 ◽  
Vol 18 (1) ◽  
pp. 15-33
Author(s):  
Anand Shankar Raja Ram ◽  
Amaravathi M

Coke-Studio, an online platform hosted in YouTube has been successful in both countries and has been discussed on another popular social media platform Twitter. However, studies report that Pakistan Coke-studio fares better in terms of its emotive content than its Indian edition. The paper analyses how the ―Hashtag fever‖ which has created a huge impact on brand image and profitability position of firms all around the world leads to the differential approach. Though a detailed Social Media Analysis (SMA), this paper aims to examine how hashtags work on the Twitter platforms and conclude how social-media often offers a glimpse of subconscious consumer preferences and its implications thereof.

2017 ◽  
Vol 29 (4) ◽  
pp. 125-151
Author(s):  
Sung-Mun Jung ◽  
Yeo-Woon Ju ◽  
Chi-Ok Oh

Religions ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 758
Author(s):  
Katie Christine Gaddini

The popularity of digital media has spurred what has been called a “crisis of authority”. How do female evangelical microcelebrities figure in this crisis? Many of these women belong to churches led by male pastors, have amassed a large following online, and are sought-after speakers and teachers. This paper analyses how gender, religious authority, and the digital sphere collide through the rise of female evangelical microcelebrities. Bringing together ethnographic data, textual analysis, and social media analysis of six prominent women, I emphasize the power of representation to impact religious practices and religious meaning. This article examines how evangelical women are performing and negotiating their legitimacy as the Internet and fluid geographical boundaries challenge local models of religious authority. Moving away from a binary perspective of “having” or “not having” authority, this paper considers the various spheres of authority that evangelical microcelebrities occupy, including normative womanhood, prosperity theology, and politics. Finally, by examining the social media content put forth by female evangelical microcelebrities, I interrogate the political stakes of evangelical women’s authority.


2020 ◽  
Vol 14 (3) ◽  
pp. 545-560 ◽  
Author(s):  
Anna Molnár ◽  
Anna Urbanovics

Purpose This paper aims to investigate the mechanisms behind the development of e-democracy. The contrasting cases of Italy and Hungary are selected as the case studies. With the development of new information and communication technology, more and more elements of domestic politics have been transferred to the internet-based platforms. As a response to the deep financial, economic and political crisis that Europe endured over the period 2010-2015 and as a result of the disappointment with traditional parties, new political movements and parties were created. In this paper, the Italian Five Star Movement (M5S) and the Hungarian Lehet Más a Politika (“Politics Can Be Different”) and Momentum are examined to trace the specific mechanisms that led to their establishment. Design/methodology/approach The research is based on mixed method approach, using primary and secondary data to identify and examine mechanisms conducive to the emergence of e-democracy. It uses quantitative analysis along with discourse analysis and social media analysis. The research is based on the analysis of respective parties’ social media communication. The social media analysis has been carried out by the SentiOne social listening software within the time frame of February 2018 and the end of 2019. Along different types of democracy measurements, Italy and Hungary have been analysed between 2017 and 2019. Findings The paper identifies the key preconditions for the emergence of e-democracy. These are freedom, gender gap, inequality and corruption. It also then elaborates on mechanisms, such as social media activity and citizen engagement, which lead to the emergence of e-democracy. The thesis of this article is that in Hungary (compared to Italy), elements of high-quality standards for a democracy are still missing to establish a successful political party which uses the sustainable concept for e-democracy. In Hungary, the examined parties use social media only as media representation without exploiting the possibilities lying in social media platforms. They mostly rely on these networking sites during elections and no strong sentiments can be identified in their communication. Italy is a more developed democracy where online platforms are used to engage citizens regularly. M5S actively communicates through these platforms, which is reflected in the amount of comments and strong social media activity even out of election period. Originality/value The originality of the paper is the social media analysis to test the use of social media in the parties’ political communication. The paper defines key factors and mechanisms concerning the establishment of e-democracy through inductive analysis of two contrasting cases. Italy and Hungary are two member states of the European Union (EU) with different development, their current preparation and situation regarding e-democracy give insights on how the quality of democracy determines their attitude towards cyber parties. While Italy being a founding member of the EU has become an established democracy, Hungary, after the transition, has developed into a new democracy.


2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Jenna Jacobson ◽  
Philip Mai ◽  
Elizabeth Dubois

Today, billions of people around the world are turning to social media to socialize, conduct business, keep up with the news, as well as discover, discuss, and share information. The significance of this global adoption of a relatively new communication and information technology cannot be overlooked. As a country, Canada has one of the most connected populations in the world. For many Canadians, social media is now a part of their daily routine. Our survey results show that an overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. This makes it critical for policy makers, researchers, and others to have a better grasp of what social media platforms Canadians are using to connect and converse with one another. This report provides a snapshot of the social media usage trends and patterns amongst online Canadian adults based on an online survey of 1,500 participants (see Methods on p. 16 for more details).


2021 ◽  
Vol 11 (2) ◽  
pp. 8-15
Author(s):  
İbrahim Sabuncu ◽  
Berivan Edeş ◽  
Doruk Sıtkıbütün ◽  
İlayda Girgin ◽  
Kadir Zehir

The purpose of creating a brand image profile is to measure the brand perception of consumers considering brand attributes. Thus, marketing decisions can be made based on the brand's strengths and weaknesses by determining them. The brand image profile is traditionally created using the attitude scales and surveys. However, alternative methods are needed since the questionnaires' responses are careless, the number of participants is relatively low and the cost per participant is high. In this study, as an alternative method, creating a brand image profile by analyzing social media data with artificial intelligence was made for the iPhone product. Firstly, the focus group study determined the attributes related to the last version of the iPhone. Then, between December 17th, 2019 and March 23rd, 2020, 87.227 tweets that include these attributes in English were collected from the Twitter social media platform through the RapidMiner data mining tool. Sentiment analysis was performed on collected tweets by the MeaningCloud text mining tool. In this analysis, positive and negative emotions were tried to be detected through artificial intelligence algorithms. Net Brand Reputation Score (NBR) was calculated using the positive and negative tweets amount for each attribute separately. Brand image profile was created by skew analysis using NBR values. As a result, it is thought that social media analysis can be a complementary method that can be used with traditional methods in creating a brand image profile. So, it is seen as an inevitable method to use in further studies to make sentiment analysis by processing raw data received from the Social Media platforms through artificial intelligence algorithms to transform the product label or the perspectives of an event into meaningful information.


2021 ◽  
Vol 66 (1) ◽  
pp. 111-126
Author(s):  
Mihai Constantin Răzvan Barbu ◽  
George Bogdan Burcea ◽  
Dragoş Laurenţiu Diaconescu ◽  
Marius Cătălin Popescu ◽  
Leonardo Daniel Păsărin ◽  
...  

"ABSTRACT. Globally, sponsorship has grown impressive over the last 30 years, receiving an increased importance in the communication mix of companies. Sport organizations have understood the importance and the role sponsorship it plays for the financial support they need. Sponsorship is the material support of an event, activity or organization by an unaffiliated partner. It is a good way to increase brand awareness, which helps to generate consumer preferences and promote brand loyalty and also improves the brand image. Brands play an important role in the development of companies because they bring a number of benefits to them. The paper ""Innovation’s impact on sponsorship activation"" aims to present a series of theoretical elements of activating sponsorship, as well as the element of innovation in this process, an element represented by the social media presence in our lives and in the last part of the paper is presented a study based on a survey on our topic."


2018 ◽  
Vol 4 (1) ◽  
pp. 205630511775072 ◽  
Author(s):  
William Housley ◽  
Helena Webb ◽  
Meredydd Williams ◽  
Rob Procter ◽  
Adam Edwards ◽  
...  

The increasing popularity of social media platforms creates new digital social networks in which individuals can interact and share information, news, and opinion. The use of these technologies appears to have the capacity to transform current social configurations and relations, not least within the public and civic spheres. Within the social sciences, much emphasis has been placed on conceptualizing social media’s role in modern society and the interrelationships between online and offline actors and events. In contrast, little attention has been paid to exploring user practices on social media and how individual posts respond to each other. To demonstrate the value of an interactional approach toward social media analysis, we performed a detailed analysis of Twitter-based online campaigns. After categorizing social media posts based on action(s), we developed a typology of user exchanges. We found these social media campaigns to be highly heterogeneous in content, with a wide range of actions performed and substantial numbers of tweets not engaged with the substance of the campaign. We argue that this interactional approach can form the basis for further work conceptualizing the broader impact of activist campaigns and the treatment of social media as “data” more generally. In this way, analytic focus on interactional practices on social media can provide empirical insight into the micro-transformational characteristics within “campaign communication.”


2020 ◽  
Vol 57 (9) ◽  
pp. 1093-1099
Author(s):  
Alexandra S. Hudson ◽  
Alexander D. Morzycki ◽  
Regan Guilfoyle

Objective: Studies have begun analyzing how the world converses on social media platforms about medical/surgical topics. This study’s objective was to examine how cleft lip and palate, two of the most common birth defects in the world, are discussed on the social media platform Twitter. No study to date has analyzed this topic. Methods: Tweets were identified using any of the following: cleft, cleft lip, cleft palate, #cleft, #cleftlip, #cleftpalate. Eight months between 2017 and 2018 were analyzed. Main Outcome Measures: The primary outcome was the tweet subject matter. Secondary outcomes were author characteristics, tweet engagement, multimedia, and tweet accuracy Results: A total of 1222 tweets were included. #Cleft was the most common hashtag (71%), and it was significantly associated with more retweets ( P = .03). Twenty-seven countries tweeted, with the United States (34%) and India (27%) producing the most. Charities (36%), hospitals (14%), and physicians (13%) were the most common authors. Over three-quarters of tweets were self-promotional. The top content included charity information (22%) and patients’ cleft stories (14%). Tweets about patient safety/care and surgical service trips generated the most engagement. The accuracy of educational tweets was 38% low accuracy and 1% inaccurate. One hundred forty-nine tweets (12%) discussed a published research article, but 41 tweets did not share a link. Conclusions: Charities dominate the cleft lip/palate “Twitterverse.” Most tweets were self-promotional, and over a third of educational tweets were low accuracy. As the cleft social media community continues to grow, we recommend using the hashtag #cleft to reach a wider audience.


Matrizes ◽  
2016 ◽  
Vol 10 (2) ◽  
pp. 203
Author(s):  
Ana Lúcia Nunes de Sousa

In this book, the authors Raquel Recuero, Marco Bastos and Gabriela Zago present the reader with a simple and accessible guide for initiation into the analysis of social networks as a research methodology of social media, as for instance, Facebook and Twitter. The basic concepts, a brief history of the study of social networks, patterns and analysis software and a rich set of examples, where the social media analysis can be applied, are presented in the work. The intention of the authors is to popularize the methodology and the tools so that more researchers can explore the field of social media.


2019 ◽  
Vol 8 (S1) ◽  
pp. 1-3
Author(s):  
S. Lingeswari

Few years back the Internet usage was very low when compared now-a-days. It has become a very important part in our day to day life. Billions of people are using social media and social networking every day all over the world. Such a huge number of people generate a large number of data which have become a quite difficult to manage. Here solving these types of problem by using a term called Big Data. It refers to the huge number of datasets. Data may be structured, unstructured or semi structured. Big data is defined by three Vs such as Volume, Velocity and Variety. Big Data use an algorithm known as Map Reduce algorithm. Large number of datasets is very difficult to manage. This problem has been solved using Map Reduce algorithm. In this paper, we focus to analyze social media through big data using Map Reduce algorithm.


Sign in / Sign up

Export Citation Format

Share Document