E-Democracy – Privacy-Preserving, Secure, Intelligent E-Government Services

Municipalities have acknowledged that improving citizens’ access to online information and services, and engaging them in policy and decisionmaking enhance local democracy. Electronic participation can empower citizens who are interested in government decision-making and public issues. The objec‐ tive of this article is to investigate the supply side and the demand side of elec‐ tronic participation in Greek municipalities. Using content analysis for 325 Greek municipal portals we depict the supply of electronic participation for 2017, by employing the Citizen Web Empowerment Index. A comparison of the index for 2015 and 2017 is presented. Electronic participation demand is estimated using a sample of 212 citizens. The main findings show that municipal electronic participation provision progress is slow paced, although citizens express interest for involvement in local government issues. Municipalities should focus on welldesigned electronic participation tools and services, taking into account citizens’ needs to engage them in public affairs.

[1]  Liang He,et al.  Keyword Extraction from Short Documents Using Three Levels of Word Evaluation , 2012, IC3K.

[2]  Elias Pimenidis,et al.  An Evaluation of the Initiatives and the Progress Made on e-government Services in the EU , 2011, ICGS3/e-Democracy.

[3]  Juan Luis Castro,et al.  Handling Context in Lexicon-Based Sentiment Analysis , 2012, IPMU.

[4]  Hiroshi Tsuji,et al.  Measurement Evaluation of Keyword Extraction Based on Topic Coverage , 2014, HCI.

[5]  Elias Pimenidis,et al.  Smart Cross-Border e-Gov Systems and Applications , 2015, e-Democracy.

[6]  R. F. Davis,et al.  A Computer-Aided Affective Content Analysis of Nanotechnology Newspaper Articles , 2011 .

[7]  Jacob Appelbaum,et al.  OONI: Open Observatory of Network Interference , 2012, FOCI.

[8]  Conxita Márquez,et al.  Students’ Attitudes to Information in the Press: Critical Reading of a Newspaper Article With Scientific Content , 2014 .

[9]  K. McGlade,et al.  Online health information – what the newspapers tell their readers: a systematic content analysis , 2014, BMC Public Health.

[10]  Archil Maysuradze,et al.  A Low Effort Approach to Quantitative Content Analysis , 2015, KESW.

[11]  H. Boomgaarden,et al.  Across time and space: Explaining variation in news coverage of the European Union , 2013 .

[12]  B. Sovacool,et al.  What About Social Science and Interdisciplinarity? A 10-Year Content Analysis of Energy Policy , 2012 .

[13]  A. Harden,et al.  Methods for the thematic synthesis of qualitative research in systematic reviews , 2008, BMC medical research methodology.

[14]  Vojtech Merunka,et al.  Ontology-Based Translation of the Fusion Free Word Order Languages - Neoslavonic Example , 2016, EOMAS@CAiSE.

[15]  C. D. Vreese,et al.  News framing: Theory and typology , 2005 .

[16]  Luis E. Martinez-Martínez,et al.  News Reports on TV, Twitter and the Active Audience , 2015 .

[17]  A. Maslow A Theory of Human Motivation , 1943 .

[18]  Rita Butkiene,et al.  Searching the Web by Meaning: A Case Study of Lithuanian News Websites , 2015, IC3K.

[19]  Flora Amato,et al.  A Method for Topic Detection in Great Volumes of Data , 2014, DATA.

[20]  Charlotte Gooskens,et al.  Mutual intelligibility between West and South Slavic languages , 2015 .

[21]  Roberto Franzosi,et al.  Computer-assisted content analysis of newspapers , 1995 .

[22]  Measuring the Information Society Report , 2015 .

[23]  Gerald Quirchmayr,et al.  Cross-Media Analysis for Communication during Natural Disasters , 2013, IAIT.