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Identifying Web Spam with the Wisdom of the Crowds

Yiqun Liu, Fei Chen, Weize Kong, Huijia Yu, Min Zhang, Shaoping Ma, Liyun Ru
2012 ACM Transactions on the Web  
novel spam detection framework is proposed that can detect various kinds of Web spam including newly-appeared ones with the help of the analysis of user behavior.  ...  State-of-the-art spam detection techniques are usually designed for specific, known types of Web spam and are incapable and inefficient for newly-appeared spam types.  ...  In the process of identifying spam with the wisdom of the crowds, spam pages are exposed to some Web users.  ... 
doi:10.1145/2109205.2109207 fatcat:rn6kwtvgfnhvdc2mpm5g265w6u

Social spam, campaigns, misinformation and crowdturfing

Kyumin Lee, James Caverlee, Calton Pu
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Specifically, we will address new threats such as social spam, campaigns, misinformation and crowdturfing, and overview modern techniques to improve information quality by revealing and detecting malicious  ...  . • Social Honeypot was proposed to monitor spammers' behaviors and collect their information. • Using the crowd wisdom to identify social spammers.  ...  classification approaches with the crowd power. • Automatic rumor detection approach on Sina Weibo, China's leading micro-blogging service provider. • Identify fake images on Twitter during Hurricane Sandy  ... 
doi:10.1145/2567948.2577270 dblp:conf/www/LeeCP14 fatcat:xnxs7g3ddvaz5ojupn7sa2q3pm

On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs

Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
2016 Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16  
and ensuring trustworthiness of results in the face of spam.  ...  To date, all scalable approaches have relied on crowd wisdom, i.e., keyword-matching on the global tweet stream to gather relevant tweets, and crowdendorsements to judge the importance of tweets.  ...  ACKNOWLEDGMENTS The authors thank the anonymous reviewers whose suggestions greatly helped to improve the paper.  ... 
doi:10.1145/2818048.2819968 dblp:conf/cscw/ZafarBGGG16 fatcat:4zlgagiv45ftbb7ujcsjdwygta

Detecting Tag Spam in Social Tagging Systems with Collaborative Knowledge

Kaipeng Liu, Binxing Fang, Yu Zhang
2009 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery  
We harness the wisdom of crowds to discover the knowledge on what should be high quality annotations for resources. This knowledge is then used to tell spam posts from the legitimate ones.  ...  Thus, mechanisms for spam detection need to be developed to combat the flexible strategies of spammers for the success of social tagging systems.  ...  In this paper, we propose a simple but remarkable effective approach to detect tag spam in social tagging systems by harnessing the wisdom of crowds.  ... 
doi:10.1109/fskd.2009.401 fatcat:44t2ex37zfam7mxqddsa6o23ku

Social media aided sentiment analysis in forecasting

K. Nirmala Devi
2017 Mass Communicator International Journal of Communication Studies  
The analysis of sentiments obtained through social media along with wisdom of crowds can automatically compute the collective intelligence of future performance in many areas like stock trend forecasting  ...  The exponential growth of social media arouses much attention on the use of public opinion to make better decisions about a particular product or person or service.  ...  The sentiment analysis along with wisdom of crowds can automatically compute the future performance of hotspot forums as well as stock trends.  ... 
doi:10.5958/0973-967x.2017.00018.7 fatcat:s2exbp6ajva3vkurmfagbrsvcm

Re-evaluating the Wisdom of Crowds in Assessing Web Security [chapter]

Pern Hui Chia, Svein Johan Knapskog
2012 Lecture Notes in Computer Science  
We examine the outcomes of the Web of Trust (WOT), a user-based system for assessing web security and find that it is more comprehensive than three automated services in identifying 'bad' domains.  ...  Such risks are not evaluated by the automated services, highlighting the potential benefits of user inputs. We also find a lack of sharing among the vendors of the automated services.  ...  Westermann and the anonymous reviewers for their comments, and the WOT developers for dataset-II, III and details about the WOT system.  ... 
doi:10.1007/978-3-642-27576-0_25 fatcat:5pu3ntruura4to4irxldedyl4a

Report on the Models of Trust for the Web workshop (MTW'06)

Tim Finin, Lalana Kagal, Daniel Olmedilla
2006 SIGMOD record  
Using Flickr as an example, Ricardo showed how the "wisdom of crowds can be used to search" as Flickr users collaboratively search and tag each other's photos and the anchor text is collective knowledge  ...  With the introduction of web services, the problem is further exacerbated as users have to come up with a new set of requirements for trusting web services and web services themselves require a more automated  ... 
doi:10.1145/1228268.1228282 fatcat:5i4b6xxyh5gsvc3jiymselx32e

Performance Evaluation of User-Behaviour Techniques of Web Spam Detection Models

2019 Network and Complex Systems  
However, the effectiveness of these features in identifying Web spams correctly needs to be determined.  ...  The upsurge of web spam has significantly deteriorated the Quality of Services (QoS) of the World Wide Web.  ...  Acknowledgement This Research was funded by the TETFund Research Fund and the Africa Centre of Excellence, Obafemi Awolowo University (OAU) -ICT Driven Knowledge Park.  ... 
doi:10.7176/ncs/10-07 fatcat:2jty4bkn3beotlgfxl6uqr6wga

The Wisdom of the Gaming Crowd

Robert Jeffrey, Pengze Bian, Fan Ji, Penny Sweetser
2020 Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play  
With limited previous research that specifically focuses on game reviews, we aim to provide a baseline for future research to tackle some of the key challenges.  ...  Our work shows promise for using natural language processing techniques to automatically identify features, sentiment, and spam in video game reviews on the Steam platform.  ...  to extract, analyse, and understand the wisdom of the gaming crowd.  ... 
doi:10.1145/3383668.3419915 dblp:conf/chiplay/JeffreyBJS20 fatcat:tx6v4mh34bhexfbjdztorzcvby

The Best Answers? Think Twice: Online Detection of Commercial Campaigns in the CQA Forums [article]

Cheng Chen, Kui Wu, Venkatesh Srinivasan, Kesav Bharadwaj R
2013 arXiv   pre-print
Validated with real-world trace data from a popular Chinese CQA website over a period of three months, our system shows great potential towards adaptive online detection of CQA spams.  ...  In this paper, we develop a system that automatically analyzes the hidden patterns of commercial spam and raises alarms instantaneously to end users whenever a potential commercial campaign is detected  ...  INTRODUCTION Web 2.0 social websites are playing an increasingly important role on the Internet by utilizing the wisdom of crowds.  ... 
arXiv:1208.1448v2 fatcat:hoxdarjb4vf5jacxqx5j6fvwcy

On sampling the wisdom of crowds

Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Sharma, Niloy Ganguly, Krishna Gummadi
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
Over the duration of a month, we gathered tweets from over 500,000 Twitter users who are identified as experts on a diverse set of topics, and compared the resulting expert-sampled tweets with the 1% randomly  ...  In this paper, we investigate the crucial question of how to sample the data generated by users in social networks. The traditional method is to randomly sample all the data.  ...  Acknowledgment: This research was supported in part by a grant from the Indo-German Max Planck Centre for Computer Science (IMPECS).  ... 
doi:10.1145/2505515.2505615 dblp:conf/cikm/GhoshZBSGG13 fatcat:rh2bxluvfjamrfgbir6rfqybpi


Ashish Chandra
2019 Zenodo  
With the search engines' increasing importance in people's life, there are more and more attempts to illegitimately influence page ranking by means of web spam.  ...  The Web contains a huge number of profit-seeking ventures that are attracted by the prospect of reaching millions of users at a very low cost.  ...  Static ranking) of the page. For this purpose it uses the page content information, link structure of the page, temporal features, usage data (i.e. Wisdom of Crowd) etc [1] .  ... 
doi:10.5281/zenodo.3565584 fatcat:sc2fmbpwuvc7ra3rr6jqvfrf2m

Sound index

Varun Bhagwan, Tyrone Grandison, Daniel Gruhl
2009 Communications of the ACM  
However, one of the most significant demographics for the industry-the teen market-has notably altered its new-music-consumption behavior due to the recent availability of online content and digital downloads  ...  The Sound Index system demonstrates a new way to measure popularity in the world of music by  ...  acknowledgments We would like to thank the BBC, specifically Geoff Goodwin, Head of BBC Switch, for its vision, support, and encouragement, as well as Alfredo Alba (IBM Almaden Research Center), Jan Pieper  ... 
doi:10.1145/1562164.1562185 fatcat:2ptm3iuivjej3moug7kscxesmm

Big Data or Right Data?

Ricardo Baeza-Yates
2013 Alberto Mendelzon Workshop on Foundations of Data Management  
In this position paper we explore the trade-offs involved and the main problems that come with big data: scalability, redundancy, bias, noise, spam, and privacy.  ...  of the problems much less data is necessary.  ...  This is now called wisdom of crowds when the data comes from people [18] .  ... 
dblp:conf/amw/Baeza-Yates13 fatcat:ox7ciagmuvhofdasotjhwcpvsm

Supporting the Creation of Scholarly Bibliographies by Communities through Online Reputation Based Social Collaboration [chapter]

Hamed Alhoori, Omar Alvarez, Richard Furuta, Miguel Muñiz, Eduardo Urbina
2009 Lecture Notes in Computer Science  
., from Web spam) in maintaining the level of scholarly precision-the ratio of relevant citations retrieved by search.  ...  We implemented selected social features for an established digital humanities project (the Cervantes Project) and compared the results with a number of closed and open current bibliographies.  ...  This is a classic Web 2.0 problem: it's hard to aggregate the wisdom of the crowds without aggregating their inexperience or madness as well [12] . Bogers, et al.  ... 
doi:10.1007/978-3-642-04346-8_19 fatcat:lzhnh6y7rjfcbfkswv5w4yqgeu
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