Archive for the ‘Internet’ Category

Paper – Understanding Why Users Tag by Markus Strohmaier

Tuesday, April 2nd, 2013


Understanding Why Users Tag: A Survey of Tagging Motivation Literature and Results from an Empirical Study, Markus Strohmaier, Christian Körner, Roman Kern. Journal of Web Semantics, preprint server.

"While recent progress has been achieved in understanding the structure and dynamics of social tagging systems, we know little about the underlying user motivations for tagging, and how they influence resulting folksonomies and tags. This paper addresses three issues related to this question: 1.) What distinctions of user motivations are identied by previous research, and in what ways is user motivation amenable to quantitative analysis? 2.) To what extent does tagging motivation vary across dierent social tagging systems? and 3.) How does variability in user motivation influence resulting tags and folksonomies? In this paper, we present measures to detect whether a tagger is primarily motivated by categorizing or describing resources, and apply these measures to datasets from seven dierent tagging systems. Our results show that a) users’ motivation for tagging varies not only across, but also within tagging systems, and that b) tag agreement among users who are motivated by categorizing resources is significantly lower than among users who are motivated by describing resources. Our findings are relevant for 1) the development of tag-based user interfaces 2) the analysis of tag semantics and 3) the design of search algorithms for social tagging systems."


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Revealed: the grubby world of comment spam – Greg Stevens

Wednesday, September 5th, 2012


Greg Stevens Thursday, 30 August 2012


Greg Stevens dives into the feculent bowels of the internet to reveal the tactics and software used by comment spammers. Can this form of marketing be neatly divided into good and evil?

From time to time you may see a comment on a blog or a news article that looks something like this:

Definitely believe that which you stated. Your favorite justification seemed to be on the web the simplest thing to be aware of. You managed to hit the nail upon the top and defined out the whole thing without having side effect, people can take a signal. Will likely be back to get more. Thanks

At first glance, it could be an earnest attempt by a non-English speaking reader to give the author some kind of compliment. Detracting slightly from this impression is the fact that the name of the commenter shows up as “buy cheap loui vuitton bags” with a link to an online store.


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Forbes: Using Twitter To Identify Psychopaths – Minority Report’s coming true.

Tuesday, July 24th, 2012


Posted: 21 Jul 2012 05:05 AM PDT

Hope no one’s planning on committing any thought crimes.

"The FBI could use this to flag potential wrongdoers"…

read more


Early beta version of Zanran – search for ‘semi-structured’ data on the web

Thursday, June 21st, 2012


"Zanran helps you to find ‘semi-structured’ data on the web. This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart shown as an image in an HTML page. This huge amount of information can be difficult to find using conventional search engines, which are focused primarily on finding text rather than graphs, tables and bar charts…Zanran doesn’t work by spotting wording in the text and looking for images – it’s the other way round. The system examines millions of images and decides for each one whether it’s a graph, chart or table – whether it has numerical content. The core technology is patented computer vision algorithms that decide whether an image is numerical – and they’re accurate (about 98%). But the huge majority of images on the internet are not graphs etc. So even though the accuracy is high, you will still get some non-numerical images. In comparison, looking for tables is relatively simple. Once we’ve found a table we then have to decide whether it’s essentially numerical – and we have algorithms for that."


Microsoft Academic Search; a free academic search engine

Saturday, April 21st, 2012


Microsoft Academic Search is a free academic search engine developed by Microsoft Research, which also serves as a test-bed for many research ideas in Data Mining, Named Entity Extraction and Disambiguation, Data Visualization, etc. As a research prototype, the coverage of MAS is still very limited in certain domains. Microsoft Academic Search provides many innovative ways to explore academic publications, authors, conferences, journals, organizations and keywords, connecting millions of scholars, students, librarians, and other users

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Can social media detect the changes in public mood?

Wednesday, April 18th, 2012


New research has analysed the mood of Twitter users in the UK and detected various changes in the mood of the public. In particular, the researchers observed a significant increase in negative mood, anger
and fear, coinciding with the announcement of spending cuts and last summer’s riots together with a possibly calming effect during the royal wedding.


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