Automatic Moderation of Online Discussion Sites

Delort, Jean-Yves; Arunasalam, Bavani; Paris, Cécile

doi:10.2753/jec1086-4415150302

Cited by 28 publications

(23 citation statements)

References 8 publications

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“…Web sites where online discussion takes place have to deal with unsuitable posts. Some automated filtering can be done but manual intervention by moderators is often required [7]. Many systems rely on users reporting abusive posts, in effect crowdsourcing the task.…”

Section: Applicable Domainsmentioning

confidence: 99%

Crowdsourced Feedback With Imagery Rather Than Text

Robb

Padilla

Kalkreuter

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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Cognitive styles theories suggest that we divide into visual and verbal thinkers. In this paper we describe a method designed to encourage visual communication between designers and their audiences. This new visual feedback method is based on enabling fast intuitive selections by the crowd from image banks when responding to an idea. Visual summarization reduces the massed image choices to a small number of representative images. These summaries are then consumed at a glance by designers receiving the feedback leading to thoughtful reflection on their designs. We report an evaluation using two types of imagery for feedback. Twelve designers took part, receiving visual feedback in response to their designs. In semi-structured interviews they described their interpretation of the feedback, how it inspired them to change their designs and contrasted it with text feedback. Eleven of the twelve designers revealed that they would be enthusiastic users of a service providing this new mode of feedback.

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Section: Applicable Domainsmentioning

confidence: 99%

Crowdsourced Feedback With Imagery Rather Than Text

Robb

Padilla

Kalkreuter

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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show abstract

“…The proposed prototype might feel too technology-centric and the expectation of parents to submit their children to extensive physiological monitoring might be unsuccessful. Further, the use of the new system might constitute a new source of stress in itself as pointed out by Riedl [51]. Therefore, many current assumptions might not hold true in challenging situations in the real world.…”

Section: Magnitude Of Challengementioning

confidence: 99%

Nordic Contributions in IS Research

Oinas-Kukkonen¹,

Iivari²,

Kuutti³

et al. 2015

Lecture Notes in Business Information Processing

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“… In addition, in 2009, eight participants were charged by the Security Exchange Commission (SEC) 5 for being involved in penny stock (i.e. stock prices that are less than a dollar) manipulation throughout the year of 2006 and 2007.…”

Section: A Financial Crimes On Share Price Based Fdbsmentioning

confidence: 99%

“…In [5], the authors introduced a novel classification technique for a classifier training in order to automate moderation tasks on online discussion sites (ODSs). A partially labelled corpus is used for the training purpose and then attempt to moderate the inappropriate content on ODSs using the technique.…”

Section: Pump and Dump And Share Price Based Fdbsmentioning

confidence: 99%

“…Research from recent years highlighted that the comments on FDBs were found manipulative and positively related to the market returns, volatility and trading volumes [7]- [11]. However, there has been very little attempt [5], [6] made to build tools for monitoring and detection of potential financial crimes on share price based FDBs. Furthermore, other than the initial work presented in [12], none of the other existing research take share prices into account when designing a financial surveillance tool for detection of potentially illegal FDB comments.…”

Section: Introductionmentioning

confidence: 99%

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Novel Methods for Resolving False Positives during the Detection of Fraudulent Activities on Stock Market Financial Discussion Boards

Lee¹,

Owda²,

Crockett³

2018

ijacsa

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Abstract-Financial discussion boards (FDBs) have been widely used for a variety of financial knowledge exchange activities through the posting of comments. Popular public FDBs are prone to being used as a medium to spread false financial information due to larger audience groups. Although online forums are usually integrated with anti-spam tools, such as Akismet, moderation of posted content heavily relies on manual tasks. Unfortunately, the daily comments volume received on popular FDBs realistically prevents human moderators to watch closely and moderate possibly fraudulent content, not to mention moderators are not usually assigned with such task. Due to the absence of useful tools, it is extremely time consuming and expensive to manually read and determine whether each comment is potentially fraudulent. This paper presents novel forward and backward analysis methodologies implemented in an Information Extraction (IE) prototype system named FDBs Miner (FDBM). The methodologies aim to detect potentially illegal Pump and Dump comments on FDBs with the integration of per-minute share prices in the detection process. This can possibly reduce false positives during the detection as it categorises the potentially illegal comments into different risk levels for investigation purposes. The proposed system extracts company's ticker symbols (i.e. unique symbol that represents and identifies each listed company on stock market), comments and share prices from FDBs based in the UK. The forward analysis methodology flags the potentially Pump and Dump comments using a predefined keywords template and labels the flagged comments with price hike thresholds. Subsequently, the backward analysis methodology employs a moving average technique to determine price abnormalities and backward analyse the flagged comments. The first detection stage in forward analysis found 9.82% of potentially illegal comments. It is unrealistic and unaffordable for human moderators or financial surveillance authorities to read these comments on a daily basis. Hence, by integrating share prices to perform backward analysis can categorise the flagged comments into different risk levels. It helps relevant authorities to prioritise and investigate into the higher risk flagged comments, which could potentially indicate a real Pump and Dump crime happening on FDBs when the system is being used in real time.

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Automatic Moderation of Online Discussion Sites

Cited by 28 publications

References 8 publications

Crowdsourced Feedback With Imagery Rather Than Text

Crowdsourced Feedback With Imagery Rather Than Text

Nordic Contributions in IS Research

Novel Methods for Resolving False Positives during the Detection of Fraudulent Activities on Stock Market Financial Discussion Boards

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