Strategic manipulation of online information in duopolies: Inducing fight-back?

2021 ◽  
Vol 47 ◽  
pp. 101052
Author(s):  
Jizi Li ◽  
Yueqing Bian ◽  
Chunling Liu ◽  
Fangbing Liu
Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 207-209 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr

Abstract. Background: Research has already acknowledged the importance of the Internet in suicide prevention as search engines such as Google are increasingly used in seeking both helpful and harmful suicide-related information. Aims: We aimed to assess the impact of a highly publicized suicide by a Hollywood actor on suicide-related online information seeking. Method: We tested the impact of the highly publicized suicide of Robin Williams on volumes of suicide-related search queries. Results: Both harmful and helpful search terms increased immediately after the actor's suicide, with a substantial jump of harmful queries. Limitations: The study has limitations (e.g., possible validity threats of the query share measure, use of ambiguous search terms). Conclusion: Online suicide prevention efforts should try to increase online users' awareness of and motivation to seek help, for which Google's own helpline box could play an even more crucial role in the future.


2012 ◽  
Author(s):  
Linda M. Woolf ◽  
Michael R. Hulsizer ◽  
Danielle Maccartney

2020 ◽  
Vol 158 (3) ◽  
pp. S86
Author(s):  
Scott Baumgartner ◽  
Vinay Rao ◽  
Ali Khan ◽  
Marie Borum
Keyword(s):  

Author(s):  
Padmavathi .S ◽  
M. Chidambaram

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.


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