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NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media

Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh, Noel Crespi
2017 IEEE Transactions on Information Forensics and Security  

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2017 pre-print arXiv:1703.03609v1 fatcat:dhb2k3cbhfahfa5lbfwnozf6q4
In this study, we propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification  ...  Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product).  ...  NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media Saeedreza Shehnepoor, Mostafa Salehi*, Reza Farahbakhsh, Noel Crespi Abstract-Nowadays, a big part of people rely on  ... 
doi:10.1109/tifs.2017.2675361 fatcat:jxzetjvohffhlej4vwp7cud5oq
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Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh, Noel Crespi. "NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media." IEEE Transactions on Information Forensics and Security 12.7 (2017) 1585-1595

Fake Research Detection using Weighting Algorithm in Netspam Framework

2019 International journal of recent technology and engineering  

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In this investigation we propose a classification system using heterogeneous information network NetSpam framework.  ...  Social media has also have major drawback for business strategies which is spammers. Spammers create spam surveys about various products which mislead a consumer.  ...  particular business spammer leaves a negative review of a product on social media.  ... 
doi:10.35940/ijrte.b1136.0982s1119 fatcat:4u7rt22vebhkdb2hav2unslira
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"Fake Research Detection using Weighting Algorithm in Netspam Framework." International journal of recent technology and engineering 8.2S11 (2019) 831-835

Netspam: An Efficient Approach to Prevent Spam Messages using Support Vector Machine

P. Sai Kiran, K. Prudhvi Chowdary, T. T. Venkata Rayudu | K. Vinay Kumar
2018 International Journal of Trend in Scientific Research and Development  

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In this study, we aim at classifying reviews as positive, negative and spam reviews by creating a social network similar platform and providing communication between users in it.  ...  Network analysis has recently gained a lot of attention because of the arrival and increasing attractiveness of social sites, such as blogs, social networks, micro blogging, or customer review sites.  ...  INTRODUCTION: Online Social Media portals play an influentialrole in information propagation.  ... 
doi:10.31142/ijtsrd11419 fatcat:xmrg6fbwsnh53mndbmujk54lgq
Citation

P. Sai Kiran, K. Prudhvi Chowdary, T. T. Venkata Rayudu | K. Vinay Kumar. "Netspam: An Efficient Approach to Prevent Spam Messages using Support Vector Machine." International Journal of Trend in Scientific Research and Development Volume-2.Issue-3 (2018) 1704-1707

Spam Detection using Sentiment Analysis of Text

Vignesh N
2019 International Journal for Research in Applied Science and Engineering Technology  

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In this study, we propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification  ...  Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product).  ...  CONCLUSION This study introduces a novel spam detection framework namely NetSpam based on a metapath concept as well as a new graphbased method to label reviews relying on a rank-based labeling approach  ... 
doi:10.22214/ijraset.2019.3413 fatcat:fpu7clgop5b7nmqt6pcaf4y5gi
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Vignesh N. "Spam Detection using Sentiment Analysis of Text." International Journal for Research in Applied Science and Engineering Technology 7.3 (2019) 2252-2255

DETECTION OF SPAM REVIEWS IN WEBSITES USING NET SPAM ALGORITHM

SOWMYA D, LAVANYA BASKARAN, UMA AN
2023 Zenodo  

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Now-a-days, people in general choose to purchase an online item depending on the reviews and feedback given in social media.  ...  Here, we propose an exclusive framework called Net-Spam that exploit spam options for creating review datasets as heterogeneous data networks to map spam detection procedure into further classifications  ...  CONCLUSION This learning suggests a novel based spam detection framework called NetSpam Algorithm based on the concepts of metapath and graph-based method of labeling reviews depending on rank-based labeling  ... 
doi:10.5281/zenodo.8289267 fatcat:wkilow5dkjfznlnpqi2hctg2ia
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SOWMYA D, LAVANYA BASKARAN, UMA AN. "DETECTION OF SPAM REVIEWS IN WEBSITES USING NET SPAM ALGORITHM." Zenodo (2023)

Detection of Spam Reviews in Online Social Media Using Graph Based Methods

Renuka, Nandini Prasad K. S
2018 Zenodo  

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These days, a major piece of individuals trusts on content in online social media like opinions and feedbacks on a subject or items.  ...  in such network.  ...  INTRODUCTION Online social media portals play a powerful part in data spread which is assumed a vital hotspot for makers in their publicizing efforts as well with respect to clients in choosing items and  ... 
doi:10.5281/zenodo.2542692 fatcat:k5tcimphorgefckxfhxmrkoe5y
Open Access
Citation

Renuka, Nandini Prasad K. S. "Detection of Spam Reviews in Online Social Media Using Graph Based Methods." Zenodo (2018)

Spammer Community Used for Spam Detection in Online Social Media Reviews

Arun. K
2018 International Journal for Research in Applied Science and Engineering Technology  

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The spammer community frameworks use the importance of spam features for review datasets as heterogeneous information networks to detect the spam in social media and E-commerce.  ...  There is problem if you check a social media review of a product somebody are write a spam reviews of that product. The spam review gives a bad impression of the product to a user.  ...  ACKNOWLEDGMENT This work has begun as a part of Master's Degree project. In this respect, the authors would like to thank the staffs of the college.  ... 
doi:10.22214/ijraset.2018.4313 fatcat:zr7cr2aowbdojoa737dkbtc4su
Open Access
Citation

Arun. K. "Spammer Community Used for Spam Detection in Online Social Media Reviews." International Journal for Research in Applied Science and Engineering Technology 6.4 (2018) 1838-1846

An Effective System to Detect Fake Research

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  

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Detection of spam review is an important operation for present e-commwebsites and apps.We address the issue on fake review detection in user reviews in e-commerce application, which wasimportant for implementing  ...  in like manner spams so as to understand the assessments in the interpersonal organizations sites, we exist a stand-out structure called Netspam which uses spam highlights for demonstrating tribute datasets  ...  are added to spam proposal Online Social media websites play a prominent function in careful expansion.  ... 
doi:10.35940/ijitee.a9118.119119 fatcat:5loddtzkhnh5hfu4blpaanxl3i
Citation

"An Effective System to Detect Fake Research." VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE 9.1 (2019) 2971-2975

Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms

Kiril Danilchenko, Michael Segal, Dan Vilenchik
2022 Proceedings of the ... International AAAI Conference on Weblogs and Social Media  

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Online reviews play a crucial role in helping consumers evaluate and compare products and services.  ...  As a result, fake reviews (opinion spam) are becoming more prevalent and negatively impacting customers and service providers.  ...  Conclusion In this work, we proposed a new holistic framework called CRSDnet for detecting review spammers.  ... 
doi:10.1609/icwsm.v16i1.19278 fatcat:vwsfso6r3bdejmiqokrylx5lsi
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Citation

Kiril Danilchenko, Michael Segal, Dan Vilenchik. "Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms." Proceedings of the ... International AAAI Conference on Weblogs and Social Media (2022) 125-134

Flexible Malicious Accounts Detector (FMAD) for Mining Twitter Social Network using Features and Accounts Frequent Pattern

Eman Osman, Mahmoud Mostafa, Sayed Abdel
2019 International Journal of Computer Applications  

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The Online Social Networks (OSN) have a great role in increasing the communication among people. Their role never stops as they have become the way to share information and the real-time news.  ...  Hackers have found a good environment, which is compatible with their goals in terms of widespread reach to the largest number of victims or even spreading large propaganda in a very short time.  ...  INTRODUCTION No one can deny the importance of Online Social Networks (OSN), due to their increasing use and wide spread adoption.  ... 
doi:10.5120/ijca2019919369 fatcat:5k5o6papk5aunphznxgdnz4tji
Citation

Eman Osman, Mahmoud Mostafa, Sayed Abdel. "Flexible Malicious Accounts Detector (FMAD) for Mining Twitter Social Network using Features and Accounts Frequent Pattern." International Journal of Computer Applications 178.52 (2019) 19-30

Influence Analysis in Business Social Media

Flora Amato, Vincenzo Moscato, Antonio Picariello, Giovanni Ponti, Giancarlo Sperlì
2017 European Conference on Principles of Data Mining and Knowledge Discovery  

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In this paper, we describe a novel data model for particular online business social networks such as Tripadvisor and Yelp: we also define a greedy influence maximization algorithm to determine the most  ...  The result of such analysis is then combined with some economic data in order to propose a set of possible financial strategies for business objects.  ...  [9] propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification problem  ... 
dblp:conf/pkdd/AmatoMPPS17 fatcat:pbfkvwyppbfmrofuckmienhsdu
Citation

Flora Amato, Vincenzo Moscato, Antonio Picariello, Giovanni Ponti, Giancarlo Sperlì. "Influence Analysis in Business Social Media." European Conference on Principles of Data Mining and Knowledge Discovery (2017) 43-54

Spam Review Detection with Graph Convolutional Networks

Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li
2019 Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19  

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2019 pre-print arXiv:1908.10679v1 fatcat:j6kcfio4ofdcvdg6rsfvu2yabu
We propose a large-scale anti-spam method based on graph convolutional networks (GCN) for detecting spam advertisements at Xianyu, named GCN-based Anti-Spam (GAS) model.  ...  Customers make a lot of reviews on online shopping websites every day, e.g., Amazon and Taobao.  ...  ACKNOWLEDGEMENTS We would like to thank Yuhong Li, Jun Zhu, Leishi Xu for their assistance on KNN Graph algorithm, and thanks to Huan Zhao for reviews and discussions.  ... 
doi:10.1145/3357384.3357820 dblp:conf/cikm/LiQLYL19 fatcat:dwsye2ycd5b4zja5pt7aexuk3i
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Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li. "Spam Review Detection with Graph Convolutional Networks." Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19 (2019) 2703-2711

Social Fraud Detection Review: Methods, Challenges and Analysis [article]

Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun
2023 arXiv   pre-print

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2021 pre-print
arXiv:2111.05645v1 fatcat:qp3zuv74lbaq3hw2ajxm6lfkim
To provide an exhaustive literature review, social fraud detection is reviewed using a framework that considers three key components: the review itself, the user who carries out the review, and the item  ...  As features are extracted for the component representation, a feature-wise review is provided based on behavioral, text-based features and their combination.  ...  Hence, fraud detection is important to social review services such as Yelp and Amazon to provide spam-free platforms for users.  ... 
arXiv:2111.05645v2 fatcat:ljxi3pgiibcpbkhak4hvrx34pa
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Citation

Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun. "Social Fraud Detection Review: Methods, Challenges and Analysis." arXiv (2023)

DFraud3- Multi-Component Fraud Detection freeof Cold-start [article]

Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun
2020 arXiv   pre-print

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2020 pre-print
arXiv:2006.05718v1 fatcat:bht62dsrsbgz5jij2owhiqbi4e
In this research, instead of focusing only on one component, detecting either fraud reviews or fraud users (fraudsters), vector representations are learnt for each component, enabling multi-component classification  ...  Fraud review detection is a hot research topic inrecent years.  ...  Netspam [3] modeled fraud detection as a single component classification problem for fraud review detection.  ... 
arXiv:2006.05718v2 fatcat:jha6yqnfs5fwxdxfo2yll2lbvy
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Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun. "DFraud3- Multi-Component Fraud Detection freeof Cold-start." arXiv (2020)

Clustering For Mining a Product Purchasing or verifying Online

V Sheshadri, K Venkataramana
2018 unpublished

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In this study, we propose a unique framework that utilizes spam options for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification downside  ...  Nowadays, a giant a part of individuals have confidence available content in social media in their choices (e.g. reviews and feedback on a subject or product). the likelihood that anybody will leave a  ...  Online Social Media portals play an influential role information propagation that is taken into account as a crucial source for producers in their advertising campaigns as well as for patrons in choosing  ... 
fatcat:vwm2q7cf5rhfvhreojst2z4suu
Citation

V Sheshadri, K Venkataramana. "Clustering For Mining a Product Purchasing or verifying Online." (2018)