Paolo Massa

From WikiPapers
Jump to: navigation, search

Paolo Massa is an author from Italy.

Tools

Tool Description
Manypedia.com Manypedia.com is a web tool in which you can compare Linguistic Points Of View (LPOV) of different language Wikipedias. For example (but this is just one of the many possible comparisons), are you wondering if the community of editors in the English, Arabic and Hebrew Wikipedias are crystallizing different histories of the Gaza War?
Wiki Trip Wiki Trip allows to have a trip in the process of creation of any Wikipedia page from any language edition of Wikipedia. WikiTrip is an interactive web tool empowering its users by providing an insightful visualization of two kinds of information about the Wikipedians who edited the selected page: their location in the world and their gender.


Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Beyond the encyclopedia: Collective memories in Wikipedia Collective memory
Commemoration
Edit activity
Traumatic event
Web 2.0
Wikipedia
Memory Studies English 2014 Collective memory processes have been studied from many different perspectives. For example, while psychology has investigated collaborative recall in small groups, other research traditions have focused on flashbulb memories or on the cultural processes involved in the formation of collective memories of entire nations. In this article, considering the online encyclopedia Wikipedia as a global memory place, we analyze online commemoration patterns of traumatic events. We extracted 88 articles and talk pages related to traumatic events, and using logistic regression, we analyzed their edit activity comparing it with more than 370,000 other Wikipedia pages. Results show that the relative amount of edits during anniversaries can significantly distinguish between pages related to traumatic events and other pages. The logistic regression results, together with the transcription of a group of messages exchanged by the users during the anniversaries of the September 11 attacks and the Virginia Tech massacre, suggest that commemoration activities take place in Wikipedia, opening the way to the quantitative study of online collective memory building processes on a large scale. 0 0
Manypedia: Comparing Language Points of View of Wikipedia Communities Wikipedia
Cross-cultural comparison
Linguistic Point of View
Language
Automatic translation
Web tool
Open source
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 Collective memory
Traumatic event
Man-made disasters
Natural disasters
LIWC
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 1
Contributing to wikipedia: Through content or social interaction? Contributions
Longevity
Novice Users
Social Web
Sociotechnical Systems
Wikipedia
International Journal of Distributed Systems and Technologies English 2012 While the overall amount of user contributions in various namespaces has been discussed in previous research, the question of how and where users contribute, depending on their time spent in Wikipedia, is still open. This study analyzed contribution patterns in three namespaces of 685,897 active users of English Wikipedia since its inception. User editing behaviors were analyzed according to the amount of time spent within Wikipedia where contributions in content-oriented spaces were compared with social-oriented namespaces. Copyright 0 0
Manypedia: Comparing language points of view of Wikipedia communities Automatic translation
Cross-cultural comparison
Language
Linguistic point of view
Open source
Web tool
Wikipedia
WikiSym 2012 English 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
WikiTrip: Animated visualization over time of geo-location and gender of Wikipedians who edited a page Animation over time
Gender
Location
Open source
Visualisation
Web tool
Wikipedia
WikiSym 2012 English 2012 In this short paper, we present WikiTrip, a web tool we created and released as open source which provides a visualization over time of two kinds of information about the Wikipedians who edited a selected page: their location in the world and their gender. We also describe evidence that pages on a language edition of Wikipedia which receive most attention in terms of edits from countries where the language is not primarily spoken are about TV shows and stars, football teams or specific geographic locations. 0 0
Collective memory building in Wikipedia: The case of North African uprisings Wikipedia
Web 2.0
Collective memory
Revolution
Traumatic event
Egypt
North Africa
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
Digital libraries and social web: Insights from wikipedia users' activities Digital libraries
Social web
User-centric design
Wikipedia
Proceedings of the IADIS International Conferences - Web Based Communities and Social Media 2011, Social Media 2011, Internet Applications and Research 2011, Part of the IADIS, MCCSIS 2011 English 2011 A growing importance of the social aspects within large scale knowledge depositories as digital libraries was discerned since the last decade for its ever increasing number of digital depositories and users. Despite the fact that this digital trend influenced multiple users, yet little is known about how users navigate in these online platforms. In this study Wikipedia is considered as a lens to analyze user activities within a large scale online environment, in order to achieve a better understanding regarding user needs in online knowledge depositories. This study analyzed user activities in real setting where editing activities of 686,332 active contributors of English Wikipedia have been studied within a period of ten years. Their editing behaviors were compared based on different periods of permanence (longevity) within Wikipedia's content-oriented versus social-oriented namespaces. The results show that users with less than 21 days of longevity were more likely to interact in namespaces that were designated for social purposes, compared to the users who remained from two to ten years who were more likely to exploit functionalities related to content discussion. The implications of these findings were positioned within the collaborative learning framework which postulates that users with different expertise levels have different exigencies. Since social functionalities were more frequently used by users who stayed for short periods of time, inclusion of such functionalities in online platforms can provide support to this segment of users. This study aims at contributing to the design of online collaborative environments such as digital libraries where socialoriented design would allow creating more sustainable environments that are built around the specific needs of diverse users. 0 0
Exploring linguistic points of view of Wikipedia Wikipedia
Linguistic point of view
Neutral point of view
Cross-cultural
Language
Comparison
Open source
Web
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 User talk pages
Discussion network
Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia 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. 0 2
Social networks of Wikipedia Wikipedia
Wiki
Social network
Empirical analysis
Open source
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 Wikipedia
Web
Map
Gender
Wiki Trip
English 2011 0 1
Trustlet, open research on trust metrics Advogato
Data acquisition
Libre software
Science commons
Social network analysis
Trust metrics
Wiki
CEUR Workshop Proceedings English 2008 A trust metric is a technique for predicting how much a user of a social network might trust another user. This is especially beneficial in situations where most users are unknown to each other such as online communities. We think the recent tumultuous evolution of social networking demands for a collective research effort. With this in mind we created Trustlet.org, a platform consisting of a wiki for open research on trust metrics. The goal of Trustlet is to collect and distribute trust network datasets and trust metrics code as free software, in order to facilitate the comparison of different trust metrics algorithms and a more coherent progress in this field. At present we made available some social network datasets and code for some trust metrics. In this paper we also report a first empirical evaluation of different trust metrics on the Advogato social network dataset. 0 0