Publications
2022
Poecze, Flora; Ebster, Claus; Strauss, Christine
In: Personal and Ubiquitous Computing, Bd. 26, Nr. 3, S. 901–910, 2022, ISSN: 1617-4909.
Abstract | Links | BibTeX | Schlagwörter: ANTECEDENTS, MOTIVATIONS, Online gaming, Self-marketing, Sentiment analysis, Social media metrics, TWITTER
@article{ea91d596e44d40998eb2bde3bc6a54b6,
title = {Let’s play on Facebook: using sentiment analysis and social media metrics to measure the success of YouTube gamers’ post types},
author = {Flora Poecze and Claus Ebster and Christine Strauss},
doi = {10.1007/s00779-019-01361-7},
issn = {1617-4909},
year = {2022},
date = {2022-06-01},
journal = {Personal and Ubiquitous Computing},
volume = {26},
number = {3},
pages = {901–910},
publisher = {Springer-Nature},
abstract = {This paper discusses the analysis results of successful self-marketing techniques on Facebook pages in the cases of three YouTube gamers: PewDiePie, Markiplier, and Kwebbelkop. The research focus was to identify significant differences in terms of the gamers' user-generated Facebook metrics and commentary sentiments. Analysis of variance (ANOVA) and k-nearest neighbor sentiment analysis were employed as core research methods. ANOVA of the classified post categories revealed that photos tended to show significantly more user-generated interactions than other post types, while, on the other hand, re-posted YouTube videos gained significantly fewer numbers in the retrieved metrics than other content types. K-nearest neighbor sentiment analysis pointed out underlying follower negativity in cases where user-generated activity was relatively low, thereby improving the understanding of the opinion of the masses previously hidden behind metrics such as the number of likes, comments, and shares. The paper at hand highlights the methodological design of the study as well as a detailed discussion of key findings and their implications, and future work. The results per se indicate the need to utilize natural language processing techniques to optimize brand communication on social media and highlight the importance of considering machine learning sentiment analysis techniques for a better understanding of consumer feedback.},
keywords = {ANTECEDENTS, MOTIVATIONS, Online gaming, Self-marketing, Sentiment analysis, Social media metrics, TWITTER},
pubstate = {published},
tppubtype = {article}
}
This paper discusses the analysis results of successful self-marketing techniques on Facebook pages in the cases of three YouTube gamers: PewDiePie, Markiplier, and Kwebbelkop. The research focus was to identify significant differences in terms of the gamers' user-generated Facebook metrics and commentary sentiments. Analysis of variance (ANOVA) and k-nearest neighbor sentiment analysis were employed as core research methods. ANOVA of the classified post categories revealed that photos tended to show significantly more user-generated interactions than other post types, while, on the other hand, re-posted YouTube videos gained significantly fewer numbers in the retrieved metrics than other content types. K-nearest neighbor sentiment analysis pointed out underlying follower negativity in cases where user-generated activity was relatively low, thereby improving the understanding of the opinion of the masses previously hidden behind metrics such as the number of likes, comments, and shares. The paper at hand highlights the methodological design of the study as well as a detailed discussion of key findings and their implications, and future work. The results per se indicate the need to utilize natural language processing techniques to optimize brand communication on social media and highlight the importance of considering machine learning sentiment analysis techniques for a better understanding of consumer feedback.
2017
Flunger, Robert; Mladenow, Andreas; Strauss, Christine
The free-to-play business model Konferenzbeitrag
In: IndrawanSantiago, M; Salvadori, IL; Steinbauer, M; Khalil,; AnderstKotsis, G (Hrsg.): 19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 - Proceedings, S. 373–379, Association for Computing Machinery (ACM), 2017, ISBN: 978-1-4503-5299-4, (19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 ; Conference date: 04-12-2017 Through 06-12-2017).
Abstract | Links | BibTeX | Schlagwörter: Business model, BUY VIRTUAL GOODS, Customer lifetime value, Free-to-play, GAMES, INTERNET, MOTIVATIONS, Online game industry, PURCHASES, Social interaction, Value creation, Virtual goods
@inproceedings{cd14af48026045098ed2b62768cfa9ac,
title = {The free-to-play business model},
author = {Robert Flunger and Andreas Mladenow and Christine Strauss},
editor = {M IndrawanSantiago and IL Salvadori and M Steinbauer and Khalil and G AnderstKotsis},
doi = {10.1145/3151759.3151802},
isbn = {978-1-4503-5299-4},
year = {2017},
date = {2017-12-04},
booktitle = {19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 - Proceedings},
volume = {Part F134476},
pages = {373--379},
publisher = {Association for Computing Machinery (ACM)},
abstract = {The free-to-play model in the online gaming industry is based on providing an online game at no charge on either mobile devices or on a PC. Monetization would occur with virtual items which players may purchase during the game. It has been demonstrated that there are several motivations for gamers to purchase such items including unobstructed play, social interactions with other gamers,competition and economic rationale. These motivations can be exploited as drivers for value generation when designing such games in a way that appeals to the gamers by using several strategies. We elaborate on seven strategies, i.e. stratified content, inconvenient gameplay elements, mediums of exchange, inventory mechanics, special occasions, artificial scarcity, and alterations ofcontent. Additionally, the theory of customer lifetime value has shown to be a beneficial concept in segmenting customers and identifying those who are especially valuable from a business perspective. Overall, research on business value generation in the field of online gaming seems less developed than in other segments and applications. Consequently, a common understanding ofavailable concepts and strategies need to be developed to enable identification and overcoming of challenges in free-to-play online gaming.},
note = {19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 ; Conference date: 04-12-2017 Through 06-12-2017},
keywords = {Business model, BUY VIRTUAL GOODS, Customer lifetime value, Free-to-play, GAMES, INTERNET, MOTIVATIONS, Online game industry, PURCHASES, Social interaction, Value creation, Virtual goods},
pubstate = {published},
tppubtype = {inproceedings}
}
The free-to-play model in the online gaming industry is based on providing an online game at no charge on either mobile devices or on a PC. Monetization would occur with virtual items which players may purchase during the game. It has been demonstrated that there are several motivations for gamers to purchase such items including unobstructed play, social interactions with other gamers,competition and economic rationale. These motivations can be exploited as drivers for value generation when designing such games in a way that appeals to the gamers by using several strategies. We elaborate on seven strategies, i.e. stratified content, inconvenient gameplay elements, mediums of exchange, inventory mechanics, special occasions, artificial scarcity, and alterations ofcontent. Additionally, the theory of customer lifetime value has shown to be a beneficial concept in segmenting customers and identifying those who are especially valuable from a business perspective. Overall, research on business value generation in the field of online gaming seems less developed than in other segments and applications. Consequently, a common understanding ofavailable concepts and strategies need to be developed to enable identification and overcoming of challenges in free-to-play online gaming.