Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics
The purpose of this study was to analyze Korean subscribers' perceptions of sports broadcasting on OTT platforms. To achieve this, data was collected from various sources between 2018 and 2022 using ‘OTT sports broadcasting’ as the keyword, employing a big data processing solution called ‘Texto...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025000593 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832573185588985856 |
---|---|
author | Wonyong Jang Jaeyeon Hwang |
author_facet | Wonyong Jang Jaeyeon Hwang |
author_sort | Wonyong Jang |
collection | DOAJ |
description | The purpose of this study was to analyze Korean subscribers' perceptions of sports broadcasting on OTT platforms. To achieve this, data was collected from various sources between 2018 and 2022 using ‘OTT sports broadcasting’ as the keyword, employing a big data processing solution called ‘Textom.’ The results were as follows: First, text mining was conducted to analyze word frequencies and examine TF-IDF scores. The text mining analysis revealed that words such as “broadcasting,” “sports,” “service,” and “game” were used most frequently. In contrast, the TF-IDF analysis showed high scores for words like “SPOTV,” “broadcasting,” “Tottenham,” and “live broadcast.” Second, degree centrality and CONCOR analyses were employed for semantic analysis. The results indicated that degree centrality produced findings similar to the rankings based on word frequency. However, differences were observed in the rankings between degree centrality and TF-IDF. Next, a CONCOR analysis was conducted to explore the cluster relationships among words associated with the perception of ‘OTT sports broadcasting.’ This analysis resulted in the formation of four clusters consisting of words with similar characteristics: ‘OTT soccer broadcasting,’ ‘Sports OTT platform,’ ‘OTT platform operator,’ and ‘Overseas sports broadcasting.’ |
format | Article |
id | doaj-art-f0cbd7e01b664778a852fab9c3348cca |
institution | Kabale University |
issn | 2405-8440 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Heliyon |
spelling | doaj-art-f0cbd7e01b664778a852fab9c3348cca2025-02-02T05:27:57ZengElsevierHeliyon2405-84402025-01-01112e41679Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analyticsWonyong Jang0Jaeyeon Hwang1Research Institute for Regional Development, Kangwon National University, Samcheok, Gangwon, South KoreaDepartment of Global Business, Kyungil University, Gyeongsan, Gyeongbuk, South Korea; Corresponding author.The purpose of this study was to analyze Korean subscribers' perceptions of sports broadcasting on OTT platforms. To achieve this, data was collected from various sources between 2018 and 2022 using ‘OTT sports broadcasting’ as the keyword, employing a big data processing solution called ‘Textom.’ The results were as follows: First, text mining was conducted to analyze word frequencies and examine TF-IDF scores. The text mining analysis revealed that words such as “broadcasting,” “sports,” “service,” and “game” were used most frequently. In contrast, the TF-IDF analysis showed high scores for words like “SPOTV,” “broadcasting,” “Tottenham,” and “live broadcast.” Second, degree centrality and CONCOR analyses were employed for semantic analysis. The results indicated that degree centrality produced findings similar to the rankings based on word frequency. However, differences were observed in the rankings between degree centrality and TF-IDF. Next, a CONCOR analysis was conducted to explore the cluster relationships among words associated with the perception of ‘OTT sports broadcasting.’ This analysis resulted in the formation of four clusters consisting of words with similar characteristics: ‘OTT soccer broadcasting,’ ‘Sports OTT platform,’ ‘OTT platform operator,’ and ‘Overseas sports broadcasting.’http://www.sciencedirect.com/science/article/pii/S2405844025000593Over-The-Top (OTT) platformSports broadcastingSocial mediaBig data |
spellingShingle | Wonyong Jang Jaeyeon Hwang Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics Heliyon Over-The-Top (OTT) platform Sports broadcasting Social media Big data |
title | Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics |
title_full | Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics |
title_fullStr | Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics |
title_full_unstemmed | Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics |
title_short | Analyzing perception of Over-The-Top (OTT) sports broadcasting focus on social media big data analytics |
title_sort | analyzing perception of over the top ott sports broadcasting focus on social media big data analytics |
topic | Over-The-Top (OTT) platform Sports broadcasting Social media Big data |
url | http://www.sciencedirect.com/science/article/pii/S2405844025000593 |
work_keys_str_mv | AT wonyongjang analyzingperceptionofoverthetopottsportsbroadcastingfocusonsocialmediabigdataanalytics AT jaeyeonhwang analyzingperceptionofoverthetopottsportsbroadcastingfocusonsocialmediabigdataanalytics |