scholarly journals Smart detection of offensive words in social media using the soundex algorithm and permuterm index

Author(s):  
Malek Z. Alksasbeh ◽  
Bassam A. Y. Alqaralleh ◽  
Tamer Abukhalil ◽  
Anas Abukaraki ◽  
Tawfiq Al Rawashdeh ◽  
...  

Offensive posts in the social media that are inappropriate for a specific age, level of maturity, or impression are quite often destined more to unadult than adult participants. Nowadays, the growth in the number of the masked offensive words in the social media is one of the ethically challenging problems. Thus, there has been growing interest in development of methods that can automatically detect posts with such words. This study aimed at developing a method that can detect the masked offensive words in which partial alteration of the word may trick the conventional monitoring systems when being posted on social media. The proposed method progresses in a series of phases that can be broken down into a pre-processing phase, which includes filtering, tokenization, and stemming; offensive word extraction phase, which relies on using the soundex algorithm and permuterm index; and a post-processing phase that classifies the users’ posts in order to highlight the offensive content. Accordingly, the method detects the masked offensive words in the written text, thus forbidding certain types of offensive words from being published. Results of evaluation of performance of the proposed method indicate a 99% accuracy of detection of offensive words.

2015 ◽  
Vol 85 (6) ◽  
pp. 1035-1041 ◽  
Author(s):  
Kristin L. Nelson ◽  
Bhavna Shroff ◽  
Al M. Best ◽  
Steven J. Lindauer

ABSTRACT Objective:  To (1) assess orthodontic patient and practitioner use of and preferences for social media and (2) investigate the potential benefit of social media in marketing and communication strategies in orthodontic practices. Materials and Methods:  A survey was developed and randomly distributed to orthodontists via the American Association of Orthodontists and to patients/parents via private practices throughout the United States. Participants were asked to answer questions related to their use of social media and their perceptions of the use of social media in the orthodontic practice. Results:  Of the participants, 76% of orthodontists and 89% of patients/parents use social media. Furthermore, Facebook was the social media platform that was most preferred. Social media use was more common in female and younger adult participants. Orthodontists posted information more often in the morning (40%) and afternoon (56%), and patients/parents used social media mainly in the evening (76%). The most commonly used marketing strategies in the orthodontic practices were social media (76%) and a practice website (59%). Social media and practice websites were positively related with new patient starts (P  =  .0376, P  =  .0035, respectively). Conclusions:  Most orthodontists and patients/parents used social media. Social media may be an effective marketing and communication tool in an orthodontic practice.


Author(s):  
Nowshin Jahan Etee

Facebook has become an integral part in this age of social media. Both the young generation and older adults nowadays use Facebook for social interaction. Facebook has become a global platform where anyone can create a Facebook account and share their ideas, thoughts, activities, and feelings. Moreover, they can share their photos and videos on Facebook. Sometimes they share photos with some written text to satire or to make fun of other people. These elements spread around the social networking sites and float from one person to another. People usually recognize them as memes. People use memes to get shared and liked by others. But sometimes these memes carry wrong perceptions and messages which can create false consciousness among the people. The notion of gender is culturally and socially constructed. Social media sites for long are reinforcing the concept of gender stereotyping through its content. These sites are invisibly controlling people’s life by transferring the stereotyped ideology. Some Facebook memes are portraying women in the way gender roles have been represented until now in social media sites. This study aims to analyze the portrayal of women on Facebook memes. In this regard, this study used purposive sampling and selected 15 Facebook memes as samples.


2017 ◽  
Vol 16 (1) ◽  
pp. 12-24 ◽  
Author(s):  
Nicole Behringer ◽  
Kai Sassenberg ◽  
Annika Scholl

Abstract. Knowledge exchange via social media is crucial for organizational success. Yet, many employees only read others’ contributions without actively contributing their knowledge. We thus examined predictors of the willingness to contribute knowledge. Applying social identity theory and expectancy theory to knowledge exchange, we investigated the interplay of users’ identification with their organization and perceived usefulness of a social media tool. In two studies, identification facilitated users’ willingness to contribute knowledge – provided that the social media tool seemed useful (vs. not-useful). Interestingly, identification also raised the importance of acquiring knowledge collectively, which could in turn compensate for low usefulness of the tool. Hence, considering both social and media factors is crucial to enhance employees’ willingness to share knowledge via social media.


Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381 ◽  
Author(s):  
S Cosa ◽  
AM Viljoen ◽  
SK Chaudhary ◽  
W Chen

Author(s):  
Tomas Brusell

When modern technology permeates every corner of life, there are ignited more and more hopes among the disabled to be compensated for the loss of mobility and participation in normal life, and with Information and Communication Technologies (ICT), Exoskeleton Technologies and truly hands free technologies (HMI), it's possible for the disabled to be included in the social and pedagogic spheres, especially via computers and smartphones with social media apps and digital instruments for Augmented Reality (AR) .In this paper a nouvel HMI technology is presented with relevance for the inclusion of disabled in every day life with specific focus on the future development of "smart cities" and "smart homes".


Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


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