Debunking Intermediary Censorship Framework in Social Media via a Content Retrieval and Classification Software

Following the enactment of computer crime law in Thailand, online service providers are compelled to control illegal content including content that is deemed harmful or problematic. This situation leads to self-censorship of intermediaries, often resulting in overblocking to avoid violating the law. Such filtering flaw both infringes users' freedom of expression and impedes the business of OSPs in Thailand. The Innovative Retrieval System IRS is thus developed to investigate intermediary censorship in online discussion forum, Pantip.com, as a case study of social media. The result shows that there is no consistency of censorship pattern on the website at all. The censorship criteria depend on type of content in each forum. Overblocking is also high, over 70% of removed content, due to intimidation of governmental agencies, lawsuits from business organizations, and fear of intermediary liability. Website administrator admitted that he would cut off some users to avoid business troubles.

[1]  Josep Rialp Criado,et al.  Is Social Media Marketing Really Working?: Its Impact on the Relationships among Market Orientation, Entrepreneurial Orientation, and Business Performance , 2013 .

[2]  Poowin Bunyavejchewin Internet Politics: Internet as a Political Tool in Thailand , 2010 .

[3]  R. Villeneuve,et al.  Measuring Global Internet Filtering , 2008 .

[4]  John Weckert What is so bad about Internet content regulation? , 2004, Ethics and Information Technology.

[5]  Li Yan,et al.  Handbook of Research on Innovative Database Query Processing Techniques , 2015 .

[6]  Wallace A. Pinheiro,et al.  User and Context-Aware Quality Filters Based on Web Metadata Retrieval , 2008 .

[7]  Barbara J. Guzzetti,et al.  Teaching Writing in the “Techno-Zone”: Exploring New Literacies in a First-Grade Classroom , 2013 .

[8]  Asta Zelenkauskaite,et al.  Analyzing Blending Social and Mass Media Audiences Through the Lens of Computer-Mediated Discourse , 2014 .

[9]  Ghalem Belalem,et al.  The Use of Arabic WordNet in Arabic Information Retrieval , 2014, Int. J. Inf. Retr. Res..

[10]  Jason D. Baker,et al.  Online Instruments, Data Collection, and Electronic Measurements: Organizational Advancements , 2012 .

[11]  Komal Kumar Bhatia,et al.  International Journal of Information Retrieval Research , 2011 .

[12]  Joan Lu,et al.  Modeling Domain Ontology for Occupational Therapy Resources Using Natural Language Programming (NLP) Technology to Model Domain Ontology of Occupational Therapy Resources , 2013, Int. J. Inf. Retr. Res..

[13]  Ronald J. Deibert The geopolitics of internet control: censorship, sovereignty, and cyberspace , 2008 .

[14]  Ghassan Kanaan,et al.  Comparing Different Sparse Matrix Storage Structures as Index Structure for Arabic Text Collection , 2012, Int. J. Inf. Retr. Res..

[15]  Dave Clarke,et al.  Access Control Models for Online Social Networks , 2014 .

[16]  Bruce E. Winston,et al.  An Online Measure of Discernment , 2013 .

[17]  PEER-TO-PEER VIDEO STREAMING , 2015 .

[18]  Mary-Anne Williams,et al.  Learning Personalized Ontologies from Text: A Review on an Inherently Transdisciplinary Area , 2008 .

[19]  M. Truong,et al.  Freedom on the net 2012: a global assessment of internet and digital media , 2012 .

[20]  Lawrence Lessig,et al.  Code and Other Laws of Cyberspace , 1999 .

[21]  Ajantha Dahanayake,et al.  Personalized Information Retrieval and Access: Concepts, Methods and Practices , 2008 .

[22]  Mohanalakshmi Rajakumar,et al.  The Spaces Between Us , 2014 .

[23]  F SawsaaAhlam,et al.  Modeling Domain Ontology for Occupational Therapy Resources Using Natural Language Programming NLP Technology to Model Domain Ontology of Occupational Therapy Resources , 2013 .

[24]  Rebecca MacKinnon,et al.  China's Censorship 2.0: How Companies Censor Bloggers , 2009, First Monday.

[25]  Saliha Aouat Indexing Outline Shapes Using Simple Polygons , 2015, Int. J. Inf. Retr. Res..