@article{duartetorres2014analysis, abstract = {The Internet is increasingly used by young children for all kinds of purposes. Nonetheless, there are not many resources especially designed for children on the Internet and most of the content online is designed for grown-up users. This situation is problematic if we consider the large differences between young users and adults since their topic interests, computer skills, and language capabilities evolve rapidly during childhood. There is little research aimed at exploring and measuring the difficulties that children encounter on the Internet when searching for information and browsing for content. In the first part of this work, we employed query logs from a commercial search engine to quantify the difficulties children of different ages encounter on the Internet and to characterize the topics that they search for. We employed query metrics (e.g., the fraction of queries posed in natural language), session metrics (e.g., the fraction of abandoned sessions), and click activity (e.g., the fraction of ad clicks). The search logs were also used to retrace stages of child development. Concretely, we looked for changes in interests (e.g., the distribution of topics searched) and language development (e.g., the readability of the content accessed and the vocabulary size). In the second part of this work, we employed toolbar logs from a commercial search engine to characterize the browsing behavior of young users, particularly to understand the activities on the Internet that trigger search. We quantified the proportion of browsing and search activity in the toolbar sessions and we estimated the likelihood of a user to carry out search on the Web vertical and multimedia verticals (i.e., videos and images) given that the previous event is another search event or a browsing event. We observed that these metrics clearly demonstrate an increased level of confusion and unsuccessful search sessions among children. We also found a clear relation between the reading level of the clicked pages and characteristics of the users such as age and educational attainment. In terms of browsing behavior, children were found to start their activities on the Internet with a search engine (instead of directly browsing content) more often than adults. We also observed a significantly larger amount of browsing activity for the case of teenager users. Interestingly we also found that if children visit knowledge-related Web sites (i.e., information-dense pages such as Wikipedia articles), they subsequently do more Web searches than adults. Additionally, children and especially teenagers were found to have a greater tendency to engage in multimedia search, which calls to improve the aggregation of multimedia results into the current search result pages.}, acmid = {2555595}, address = {New York, NY, USA}, articleno = {7}, author = {Duarte Torres, Sergio and Weber, Ingmar and Hiemstra, Djoerd}, doi = {10.1145/2555595}, interhash = {d424ae624f1065d6616609d7356c4b21}, intrahash = {c3377980acb82b95a518eb7806f9c592}, issn = {1559-1131}, issue_date = {March 2014}, journal = {ACM Transactions on the Web}, month = mar, number = 2, numpages = {54}, pages = {7:1--7:54}, publisher = {ACM}, title = {Analysis of Search and Browsing Behavior of Young Users on the Web}, url = {http://doi.acm.org/10.1145/2555595}, volume = 8, year = 2014 } @inproceedings{doerfel2014evaluating, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, bibsource = {dblp computer science bibliography, http://dblp.org}, booktitle = {Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, Aachen, Germany, September 8-10, 2014.}, editor = {Seidl, Thomas and Hassani, Marwan and Beecks, Christian}, interhash = {955cd7c6f7652b7c531b699464925b1f}, intrahash = {4b2e73c82b5a84e1959ad66aaad4a235}, pages = {18--19}, publisher = {CEUR-WS.org}, title = {Evaluating Assumptions about Social Tagging - {A} Study of User Behavior in BibSonomy}, url = {http://ceur-ws.org/Vol-1226/paper06.pdf}, year = 2014 } @inproceedings{doerfel2014social, address = {New York, NY, USA}, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, booktitle = {Proceedings of the 23rd International World Wide Web Conference}, interhash = {9223d6d728612c8c05a80b5edceeb78b}, intrahash = {11fab5468dd4b4e3db662ea5e68df8e0}, publisher = {ACM}, series = {WWW 2014}, title = {How Social is Social Tagging?}, year = 2014 } @inproceedings{schneider2009understanding, abstract = {Online Social Networks (OSNs) have already attracted more than half a billion users. However, our understanding of which OSN features attract and keep the attention of these users is poor. Studies thus far have relied on surveys or interviews of OSN users or focused on static properties, e. g., the friendship graph, gathered via sampled crawls. In this paper, we study how users actually interact with OSNs by extracting clickstreams from passively monitored network traffic. Our characterization of user interactions within the OSN for four different OSNs (Facebook, LinkedIn, Hi5, and StudiVZ) focuses on feature popularity, session characteristics, and the dynamics within OSN sessions. We find, for example, that users commonly spend more than half an hour interacting with the OSNs while the byte contributions per OSN session are relatively small.}, acmid = {1644899}, address = {New York, NY, USA}, author = {Schneider, Fabian and Feldmann, Anja and Krishnamurthy, Balachander and Willinger, Walter}, booktitle = {Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference}, doi = {10.1145/1644893.1644899}, interhash = {69b16bc81a34c976ea724b5e82ba2d8e}, intrahash = {f7ef42a9ba8edf63b6079a053d6bb9c6}, isbn = {978-1-60558-771-4}, location = {Chicago, Illinois, USA}, numpages = {14}, pages = {35--48}, publisher = {ACM}, series = {IMC '09}, title = {Understanding Online Social Network Usage from a Network Perspective}, url = {http://doi.acm.org/10.1145/1644893.1644899}, year = 2009 } @inproceedings{benevenuto2009characterizing, abstract = {Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved design of content distribution systems. In this paper, we present a first of a kind analysis of user workloads in online social networks. Our study is based on detailed clickstream data, collected over a 12-day period, summarizing HTTP sessions of 37,024 users who accessed four popular social networks: Orkut, MySpace, Hi5, and LinkedIn. The data were collected from a social network aggregator website in Brazil, which enables users to connect to multiple social networks with a single authentication. Our analysis of the clickstream data reveals key features of the social network workloads, such as how frequently people connect to social networks and for how long, as well as the types and sequences of activities that users conduct on these sites. Additionally, we crawled the social network topology of Orkut, so that we could analyze user interaction data in light of the social graph. Our data analysis suggests insights into how users interact with friends in Orkut, such as how frequently users visit their friends' or non-immediate friends' pages. In summary, our analysis demonstrates the power of using clickstream data in identifying patterns in social network workloads and social interactions. Our analysis shows that browsing, which cannot be inferred from crawling publicly available data, accounts for 92% of all user activities. Consequently, compared to using only crawled data, considering silent interactions like browsing friends' pages increases the measured level of interaction among users.}, acmid = {1644900}, address = {New York, NY, USA}, author = {Benevenuto, Fabr\'{\i}cio and Rodrigues, Tiago and Cha, Meeyoung and Almeida, Virg\'{\i}lio}, booktitle = {Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference}, doi = {10.1145/1644893.1644900}, interhash = {ed9b10d4f36f90ddde9b95ce45b0b0be}, intrahash = {e5e25244e1ca2316a7871727e2df2bb9}, isbn = {978-1-60558-771-4}, location = {Chicago, Illinois, USA}, numpages = {14}, pages = {49--62}, publisher = {ACM}, series = {IMC '09}, title = {Characterizing User Behavior in Online Social Networks}, url = {http://doi.acm.org/10.1145/1644893.1644900}, year = 2009 }