Developing hardcopy and online information for OS/2 and windows… and other impossibilities

1995 ◽  
Author(s):  
Michelle Corbin Nichols ◽  
Chuck Jaynes ◽  
Randy Eckhoff
Keyword(s):  
Online Information

The Impact of a Highly Publicized Celebrity Suicide on Suicide-Related Online Information Seeking

Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 207-209 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr
Keyword(s):  
Suicide Prevention ◽  
Information Seeking ◽  
The Internet ◽  
Online Information ◽  
Search Queries ◽  
Related Information ◽  
Search Terms ◽  
Celebrity Suicide ◽  
Online Information Seeking ◽  
The Impact

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.

Encountering Hate Online: Information for Teachers and Students

2012 ◽  
Author(s):  
Linda M. Woolf ◽  
Michael R. Hulsizer ◽  
Danielle Maccartney
Keyword(s):  
Online Information ◽  
Teachers And Students

P018 INTERNET DIETS: ONLINE INFORMATION REGARDING NUTRITIONAL TREATMENTS FOR IBD

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

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

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.

A cross-sectional survey among physicians on Internet use for epilepsy-related information (Preprint)

2019 ◽  
Author(s):  
Francesco Brigo ◽  
Simona Lattanzi ◽  
Giorgia Giussani ◽  
Laura Tassi ◽  
Nicola Pietrafusa ◽  
...  
Keyword(s):  
Internet Use ◽  
The Internet ◽  
Online Information ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Related Information ◽  
Internet Users ◽  
Therapeutic Decisions ◽  
The Individual ◽  
The Web

BACKGROUND The Internet has become one of the most important sources of health information, accessed daily by an ever-growing number of both patients and physicians, seeking medical advice and clinical guidance. A deeper insight into the current use of the Web as source of information on epilepsy would help in clarifying the individual attitude towards this medium by Internet users. OBJECTIVE We investigated views towards the Internet in a sample of Italian healthcare specialists involved in epilepsy field, to explore factors which explained the influence of information found on the internet. METHODS This study was a self-administered survey conducted in a group of members of the Italian Chapter of the International League Against Epilepsy (ILAE) in January 2018. RESULTS 184 questionnaires were analyzed. 97.8% of responders reported to seek online information on epilepsy. The Internet was most frequently searched to obtain new information (69.9%) or to confirm a diagnostic or therapeutic decision (37.3%). The influence of consulting the Internet on clinical practice was associated with registration to social network(s) (OR: 2.94; 95%CI: 1.28-6.76; p=0.011), higher frequency of Internet use (OR: 3.66; 95%CI: 1.56-9.21; p=0.006) and higher confidence in reliability of online information (OR: 2.61; 95%CI: 1.09-6.26; p=0.031). No association was found with age, sex, years in epilepsy practice or easiness to find online information. CONCLUSIONS Internet is frequently used among healthcare professionals involved in the epilepsy to obtain information about this disease. The attitude of being influenced by the Internet for diagnostic and/or therapeutic decisions in epilepsy is independent on age and years of experience in epilepsy, and probably reflects an individual approach towards the Web.

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