This page compiles all the information regarding Italy.
EventsThis is a list of events celebrated in this country.
|Name||Type||DateThis property is a special property in this wiki.||Website|
|PAN 2012||contest||17 September 2012||http://pan.webis.de|
AuthorsThis is a list of authors in this country.
|Elizabeth Da Lio|
Università di Trento
PublicationsThis is a list of publications by authors of this country.
|Title||Author(s)||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Manypedia: Comparing Language Points of View of Wikipedia Communities||Paolo Massa
Linguistic Point of View
|WikiSym||English||August 2012||The 4 million articles of the English Wikipedia have been written in a collaborative fashion by more than 16 million volunteer editors. On each article, the community of editors strive to reach a neutral point of view, representing all significant views fairly, proportionately, and without biases. However, beside the English one, there are more than 280 editions of Wikipedia in different languages and their relatively isolated communities of editors are not forced by the platform to discuss and negotiate their points of view. So the empirical question is: do communities on different language Wikipedias develop their own diverse Linguistic Points of View (LPOV)? To answer this question we created and released as open source Manypedia, a web tool whose aim is to facilitate cross-cultural analysis of Wikipedia language communities by providing an easy way to compare automatically translated versions of their different representations of the same topic.||0||0|
|Psychological processes underlying Wikipedia representations of natural and manmade disasters||Michela Ferron
Automated content analysis techniques
|WikiSym||English||August 2012||Collective memories are precious resources for the society, because they help strengthening emotional bonding between community members, maintaining groups cohesion, and directing future behavior. Studying how people form their collective memories of emotional upheavals is important in order to better understand people's reactions and the consequences on their psychological health. Previous research investigated the effects of single traumatizing events, but few of them tried to compare different types of traumatic events like natural and man-made disasters. In this paper, interpreting Wikipedia as a collective memory place, we compare articles about natural and human-made disasters employing automated natural language techniques, in order to highlight the different psychological processes underlying users' sensemaking activities.||0||0|
|Collective memory building in Wikipedia: The case of North African uprisings||Michela Ferron
|WikiSym||English||2011||Since December 2010, a series of protests and uprisings have shocked North African countries such as Tunisia, Egypt, Libya, Syria, Yemen and more. In this paper, focusing mainly on the Egyptian revolution, we provide evidence of the intense edit activity occurred during these uprisings on the related Wikipedia pages. Thousands of people provided their contribution on the content pages and discussed improvements and disagreements on the associated talk pages as the traumatic events unfolded. We propose to interpret this phenomenon as a process of collective memory building and argue how on Wikipedia this can be studied empirically and quantitatively in real time. We explore and suggest possible directions for future research on collective memory formation of traumatic and controversial events in Wikipedia.||14||0|
|Exploring linguistic points of view of Wikipedia||Paolo Massa
Linguistic point of view
Neutral point of view
|WikiSym||English||2011||The 3 million articles of the English Wikipedia has been written since 2011 by more than 14 million volunteers. On each article, the community of editors strive to reach a neutral point of view, representing all significant views fairly, proportionately, and without bias. However, beside the English one, there are more than 270 Wikipedias in different languages and their relatively isolated communities of editors are not forced by the platform to discuss and negotiate their points of view. So the empirical question is: do communities on different languages editions of Wikipedia develop their own diverse Linguistic Points of View (LPOV)? To answer this question we created Manypedia, a web tool whose goal is to ease cross-cultural comparisons of Wikipedia language communities by analyzing their different representations of the same topic.||0||1|
|Social networks of Wikipedia||Paolo Massa||Wikipedia
|Hypertext||English||2011||Wikipedia, the free online encyclopedia anyone can edit, is a live social experiment: millions of individuals volunteer their knowledge and time to collective create it. It is hence interesting trying to understand how they do it. While most of the attention concentrated on article pages, a less known share of activities happen on user talk pages, Wikipedia pages where a message can be left for the specific user. This public conversations can be studied from a Social Network Analysis perspective in order to highlight the structure of the “talk” network. In this paper we focus on this preliminary extraction step by proposing different algorithms. We then empirically validate the differences in the networks they generate on the Venetian Wikipedia with the real network of conversations extracted manually by coding every message left on all user talk pages. The comparisons show that both the algorithms and the manual process contain inaccuracies that are intrinsic in the freedom and unpredictability of Wikipedia growth. Nevertheless, a precise description of the involved issues allows to make informed decisions and to base empirical findings on reproducible evidence. Our goal is to lay the foundation for a solid computational sociology of wikis. For this reason we release the scripts encoding our algorithms as open source and also some datasets extracted out of Wikipedia conversations, in order to let other researchers replicate and improve our initial effort.||14||2|
|WikiTrip: animated visualization over time of gender and geo-location of wikipedians who edited a page||Paolo Massa
|Extracting Semantics from Multimedia Content using Wikipedia||Angela Fogarolli
|Using Wikipedia as a Reference for Extracting Semantic Information from a Text||Andrea Prato
|Exploiting the Collective Intelligence Contained in Wikipedia to Automatically Describe the Content of a Document||Anuradha Jambunathan
|The Semantic Web: a view on data integration, reasoning, human factors, collective intelligence and technology adoption||English||2008||The Wikipedia phenomenon very interesting from the point of view
of the collective, social effort to produce a large, strongly interlinked body of knowledge. It also offers, for the first time in history, a general source of information coded in electronic form and freely available to anyone. As such, it can be used as a reference for tools aiming at mining semantic meaning from generic documents. In this paper, we propose a clustering-based method that exploits some of the implicit knowledge built into Wikipedia to refine andameliorate existing approaches.
|TWiki-based facilitation in a newly formed academic community of practice||Elizabeth Da Lio
|Wiki-based case study
Wiki-based community of practice
|WikiSym||English||2005||This paper reports on the first results of an on-going project whose aim is to evaluate whether a wiki-based knowledge sharing tool like TWiki facilitates effective processes of knowledge building, sharing and transfer and fosters collaboration in a community of practice made up of Italian teachers. The project started in October 2004 and first data were collected five months later. The project was an attempt to provide them the opportunity to build more productive working relationships, stimulate new ideas, take advantage from the sharing of the broad range of professional knowledge and expertise that resides within the school. We chose TWiki as collaborative environment because its features met our needs quite well: it is open, free, easy to customize, has a versioning system and does not use proprietary technology.||1||0|