Why We Read Wikipedia

نویسندگان

  • Philipp Singer
  • Florian Lemmerich
  • Robert West
  • Leila Zia
  • Ellery Wulczyn
  • Markus Strohmaier
  • Jure Leskovec
چکیده

Wikipedia is one of the most popular sites on the Web, with millions of users relying on it to satisfy a broad range of information needs every day. Although it is crucial to understand what exactly these needs are in order to be able to meet them, little is currently known about why users visit Wikipedia. The goal of this paper is to fill this gap by combining a survey of Wikipedia readers with a log-based analysis of user activity. Based on an initial series of user surveys, we build a taxonomy of Wikipedia use cases along several dimensions, capturing users’ motivations to visit Wikipedia, the depth of knowledge they are seeking, and their knowledge of the topic of interest prior to visiting Wikipedia. Then, we quantify the prevalence of these use cases via a large-scale user survey conducted on live Wikipedia with almost 30,000 responses. Our analyses highlight the variety of factors driving users to Wikipedia, such as current events, media coverage of a topic, personal curiosity, work or school assignments, or boredom. Finally, we match survey responses to the respondents’ digital traces in Wikipedia’s server logs, enabling the discovery of behavioral patterns associated with specific use cases. For instance, we observe long and fast-paced page sequences across topics for users who are bored or exploring randomly, whereas those using Wikipedia for work or school spend more time on individual articles focused on topics such as science. Our findings advance our understanding of reader motivations and behavior on Wikipedia and can have implications for developers aiming to improve Wikipedia’s user experience, editors striving to cater to their readers’ needs, third-party services (such as search engines) providing access to Wikipedia content, and researchers aiming to build tools such as recommendation engines.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Why we need to read and understand literature: literariness and Hans Rosling’s Factfulness (2018)

My article addresses the qualities of “good” literature and how an understanding of the nature of literary devices, so-called “literariness”, can enhance the reading experience. Focusing on Hans Rosling’s Factfulness (2018), I discuss some of the most important features of good writing. Six literary devices have been selected for special attention: point of view, tone, amplification, anecdotes,...

متن کامل

خواندن معماری؛ چیستی، چرایی و چگونگی در جستجوی مدلی برای آشنایی با تاریخ معماری ایران و نقش آن در سپهر معماری

Understanding the invaluable history of Iranian archi­tecture and utilizing its sustainable bases, principles and patterns can help us improve architecture both in the present and in the future. To understand Ira­nian architecture, it is essential that we can read it thoroughly and correctly; but before that, we need to have a comprehensive definition of it. So, the main question of this resear...

متن کامل

Advertising Keyword Suggestion Using Relevance-Based Language Models from Wikipedia Rich Articles

When emerging technologies such as Search Engine Marketing (SEM) face tasks that require human level intelligence, it is inevitable to use the knowledge repositories to endow the machine with the breadth of knowledge available to humans. Keyword suggestion for search engine advertising is an important problem for sponsored search and SEM that requires a goldmine repository of knowledge. A recen...

متن کامل

Searching Wikipedia: learning the why, the how, and the role played by emotion

Searching Wikipedia has been the focus of study for an increasing number of information retrieval publications. In recent years different IR tasks have used Wikipedia as a basis for evaluating algorithms and interfaces for various types of search tasks, including Question Answering, Exploratory Search, Entity Search and Structured Document retrieval. Despite being associated with these well-def...

متن کامل

Wikipedia Workload Analysis

We study an access trace containing a sample of Wikipedia’s traffic over a 107-day period. We perform a global analysis of the whole trace, and a detailed analysis of the requests directed to the English edition of Wikipedia. In our study, we classify client requests and examine aspects such as the number of read and save operations, flash crowds, and requests for nonexisting pages. We also out...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017