Dig a Little Deeper and It Gets Weirder: Social Media and Manipulation
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SEO Footprints
SEO Footprints Brought to you by: Jason Rushton Copyright 2013 Online - M a r k e t i n g - T o o l s . c o m Page 1 Use these “Footprints” with your niche specific keywords to find Backlink sources. Some of the footprints below have already been formed into ready made search queries. TIP* If you find a footprint that returns the results you are looking for, there is no need to use the rest in that section. For example if I am looking for wordpress sites that allow comments and the search query “powered by wordpress” “YOUR YOUR KEYWORDS” returns lots of results there is no need to use all of the others that target wordpress sites as a lot of them will produce similar results. I would use one or two from each section. You can try them out and when you find one you like add it to your own list of favourites. Blogs “article directory powered by wordpress” “YOUR YOUR KEYWORDS” “blog powered by wordpress” “YOUR YOUR KEYWORDS” “blogs powered by typepad” “YOUR YOUR KEYWORDS” “YOURYOUR KEYWORDS” inurl:”trackback powered by wordpress” “powered by blogengine net 1.5.0.7” “YOUR YOUR KEYWORDS” “powered by blogengine.net” “YOUR YOUR KEYWORDS” “powered by blogengine.net add comment” “YOUR YOUR KEYWORDS” “powered by typepad” “YOUR YOUR KEYWORDS” “powered by wordpress” “YOUR YOUR KEYWORDS” “powered by wordpress review theme” “YOUR YOUR KEYWORDS” “proudly powered by wordpress” “YOUR YOUR KEYWORDS” “remove powered by wordpress” “YOUR YOUR KEYWORDS” Copyright 2013 Online - M a r k e t i n g - T o o l s . -
Setting the Record Straighter on Shadow Banning
Setting the Record Straighter on Shadow Banning Erwan Le Merrer, Benoˆıt Morgan, Gilles Tredan,´ Univ Rennes, Inria, CNRS, Irisa IRIT/ENSHEEIT LAAS/CNRS [email protected] [email protected] [email protected] Abstract—Shadow banning consists for an online social net- happens on the OSN side, collecting information about po- work in limiting the visibility of some of its users, without them tential issues is difficult. In this paper, we explore scientific being aware of it. Twitter declares that it does not use such approaches to shed light on Twitter’s alleged shadow banning a practice, sometimes arguing about the occurrence of “bugs” to justify restrictions on some users. This paper is the first to practice. Focusing on this OSN is crucial because of its central address the plausibility of shadow banning on a major online use as a public communication medium, and because potential platform, by adopting both a statistical and a graph topological shadow banning practices were recently commented. approach. Shadow banning and moderation techniques. shadow banning We first conduct an extensive data collection and analysis (SB or banning for short, also known as stealth banning [6]) campaign, gathering occurrences of visibility limitations on user profiles (we crawl more than 2:5 millions of them). In such is an online moderation technique used to ostracise undesired a black-box observation setup, we highlight the salient user user behaviors. In modern OSNs, shadow banning would refer profile features that may explain a banning practice (using to a wide range of techniques that artificially limit the visibility machine learning predictors). -
Big Data for Improved Health Outcomes — Second Edition — Arjun Panesar Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes Second Edition
Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes — Second Edition — Arjun Panesar Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes Second Edition Arjun Panesar Machine Learning and AI for Healthcare Arjun Panesar Coventry, UK ISBN-13 (pbk): 978-1-4842-6536-9 ISBN-13 (electronic): 978-1-4842-6537-6 https://doi.org/10.1007/978-1-4842-6537-6 Copyright © 2021 by Arjun Panesar This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. -
Phpbb to Vbulletin Converter Download
phpbb to vbulletin converter download phpbb or vBulletin? When I started up my site, I obviously installed a phpBB2 forum, which I then saw as a very powerful solution compared to the other free forums. I was happy with the installation for a good while, installing more MODifications and styles as I went: you wouldn't believe how much time I spent on it. Suddenly, at the beginning of this month, my site saw a pretty big jump in traffic. Forum user count went from 33 to 177 in just 3 weeks! Many of these users acually post frequently, and since I put up some google ads on one of my other sites, I decided to try out vBulletin, thinking it had some better moderation and profile features in excange for speed, style, and easy of use. Well, I finally decided to buy it one day: a perpetual license for $160, and I can say I am a bit more more than very pleased :lol:! The backend is huge, yes, but everything is nicely organized and virtually any aspect of the board can be modified. There are endless options compared to phpBB2, and I am very happy with my switch. vB is also pretty fast and easy to use regardless of the features. So basically, I find vBulletin to be the best forum solution, far better than IPB as well. Also, the conversion went very smoothly, and you can see my wonderful new forum at http://themotec.com/Forum. The phpBB team is currently working on phpBB3, which will be a much more easy-to-use version of, basically, vBulletin, with some of the very detailed features not available, and with a completely different style. -
Analyzing Twitter Users' Behavior Before and After Contact By
Analyzing Twitter Users’ Behavior Before and After Contact by Russia’s Internet Research Agency UPASANA DUTTA, RHETT HANSCOM, JASON SHUO ZHANG, RICHARD HAN, TAMARA 90 LEHMAN, QIN LV, SHIVAKANT MISHRA, University of Colorado Boulder, USA Social media platforms have been exploited to conduct election interference in recent years. In particular, the Russian-backed Internet Research Agency (IRA) has been identified as a key source of misinformation spread on Twitter prior to the 2016 U.S. presidential election. The goal of this research is to understand whether general Twitter users changed their behavior in the year following first contact from an IRA account. We compare the before and after behavior of contacted users to determine whether there were differences in their mean tweet count, the sentiment of their tweets, and the frequency and sentiment of tweets mentioning @realDonaldTrump or @HillaryClinton. Our results indicate that users overall exhibited statistically significant changes in behavior across most of these metrics, and that those users that engaged with the IRA generally showed greater changes in behavior. CCS Concepts: • Applied computing ! Law, social and behavioral sciences; • Human-centered com- puting ! Collaborative and social computing. Additional Key Words and Phrases: Internet Research Agency; IRA; Twitter; Trump; democracy ACM Reference Format: Upasana Dutta, Rhett Hanscom, Jason Shuo Zhang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra. 2021. Analyzing Twitter Users’ Behavior Before and After Contact by Russia’s Internet Research Agency. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 90 (April 2021), 24 pages. https://doi.org/10.1145/3449164 INTRODUCTION For many years, the growth of online social media has been seen as a tool used to bring people together across borders and time-zones. -
Evaluation Metric Boardsearch Metrics: Recall - C/N, Precision C/E
Overview • Forums provide a wealth of information • Semi structured data not taken advantage of by popular search software Board Search • Despite being crawled, many An Internet Forum Index information rich posts are lost in low page rank Forum Examples vBulletin •vBulletin • phpBB •UBB • Invision •YaBB • Phorum • WWWBoard phpBB UBB 1 gentoo evolutionM bayareaprelude warcraft Paw talk Current Solutions • Search engines • Forum’s internal search 2 Google lycos internal boardsearch Evaluation Metric boardsearch Metrics: Recall - C/N, Precision C/E Rival system: • Rival system is the search engine / forum internal search combination • Rival system lacks precision Evaluations: • How good our system is at finding forums • How good our system is at finding relevant posts/threads Problems: • Relevance is in the eye of the beholder • How many correct extractions exist? 3 Implementation • Lucene Improving Software Package • Mysql • Ted Grenager’s Crawler Source Search Quality • Jakarta HTTPClient Dan Fingal and Jamie Nicolson The Problem Sourceforge.org • Search engines for softare packages typically perform poorly • Tend to search project name an blurb only • For example… Gentoo.org Freshmeat.net 4 How can we improve this? Better Sources of Information • Better keyword matching • Every package is associated with a • Better ranking of the results website that contains much more detailed • Better source of information about the information about it package • Spidering these sites should give us a • Pulling in nearest neighbors of top richer representation -
Appendix a the Ten Commandments for Websites
Appendix A The Ten Commandments for Websites Welcome to the appendixes! At this stage in your learning, you should have all the basic skills you require to build a high-quality website with insightful consideration given to aspects such as accessibility, search engine optimization, usability, and all the other concepts that web designers and developers think about on a daily basis. Hopefully with all the different elements covered in this book, you now have a solid understanding as to what goes into building a website (much more than code!). The main thing you should take from this book is that you don’t need to be an expert at everything but ensuring that you take the time to notice what’s out there and deciding what will best help your site are among the most important elements of the process. As you leave this book and go on to updating your website over time and perhaps learning new skills, always remember to be brave, take risks (through trial and error), and never feel that things are getting too hard. If you choose to learn skills that were only briefly mentioned in this book, like scripting, or to get involved in using content management systems and web software, go at a pace that you feel comfortable with. With that in mind, let’s go over the 10 most important messages I would personally recommend. After that, I’ll give you some useful resources like important websites for people learning to create for the Internet and handy software. Advice is something many professional designers and developers give out in spades after learning some harsh lessons from what their own bitter experiences. -
Generating Counter Narratives Against Online Hate Speech: Data and Strategies
Generating Counter Narratives against Online Hate Speech: Data and Strategies Serra Sinem Tekiroglu˘ 1, Yi-Ling Chung1,2, and Marco Guerini1 1Fondazione Bruno Kessler, Via Sommarive 18, Povo, Trento, Italy [email protected],[email protected],[email protected] 2University of Trento, Italy Abstract the conversations (Bielefeldt et al., 2011; Jurgens et al., 2019). In this line of action, some Non- Recently research has started focusing on avoiding undesired effects that come with Govermental Organizations (NGOs) train operators content moderation, such as censorship and to intervene in online hateful conversations by writ- overblocking, when dealing with hatred on- ing counter-narratives. A Counter-Narrative (CN) line. The core idea is to directly intervene in is a non-aggressive response that offers feedback the discussion with textual responses that are through fact-bound arguments and is considered as meant to counter the hate content and prevent the most effective approach to withstand hate mes- it from further spreading. Accordingly, au- sages (Benesch, 2014; Schieb and Preuss, 2016). tomation strategies, such as natural language generation, are beginning to be investigated. To be effective, a CN should follow guidelines simi- 1 Still, they suffer from the lack of sufficient lar to those in ‘Get the Trolls Out’ project , in order amount of quality data and tend to produce to avoid escalating the hatred in the discussion. generic/repetitive responses. Being aware of Still, manual intervention against hate speech the aforementioned limitations, we present a is not scalable. Therefore, data-driven NLG ap- study on how to collect responses to hate ef- proaches are beginning to be investigated to assist fectively, employing large scale unsupervised language models such as GPT-2 for the gen- NGO operators in writing CNs. -
Locating Exploits and Finding Targets
452_Google_2e_06.qxd 10/5/07 12:52 PM Page 223 Chapter 6 Locating Exploits and Finding Targets Solutions in this chapter: ■ Locating Exploit Code ■ Locating Vulnerable Targets ■ Links to Sites Summary Solutions Fast Track Frequently Asked Questions 223 452_Google_2e_06.qxd 10/5/07 12:52 PM Page 224 224 Chapter 6 • Locating Exploits and Finding Targets Introduction Exploits, are tools of the hacker trade. Designed to penetrate a target, most hackers have many different exploits at their disposal. Some exploits, termed zero day or 0day, remain underground for some period of time, eventually becoming public, posted to newsgroups or Web sites for the world to share. With so many Web sites dedicated to the distribution of exploit code, it’s fairly simple to harness the power of Google to locate these tools. It can be a slightly more difficult exercise to locate potential targets, even though many modern Web application security advisories include a Google search designed to locate potential targets. In this chapter we’ll explore methods of locating exploit code and potentially vulnerable targets.These are not strictly “dark side” exercises, since security professionals often use public exploit code during a vulnerability assessment. However, only black hats use those tools against systems without prior consent. Locating Exploit Code Untold hundreds and thousands of Web sites are dedicated to providing exploits to the gen- eral public. Black hats generally provide exploits to aid fellow black hats in the hacking community.White hats provide exploits as a way of eliminating false positives from auto- mated tools during an assessment. Simple searches such as remote exploit and vulnerable exploit locate exploit sites by focusing on common lingo used by the security community. -
Marble Hornets, the Slender Man, and the Emergence Of
DIGITAL FOLKLORE: MARBLE HORNETS, THE SLENDER MAN, AND THE EMERGENCE OF FOLK HORROR IN ONLINE COMMUNITIES by Dana Keller B.A., The University of British Columbia, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Film Studies) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) December 2013 © Dana Keller, 2013 Abstract In June 2009 a group of forum-goers on the popular culture website, Something Awful, created a monster called the Slender Man. Inhumanly tall, pale, black-clad, and with the power to control minds, the Slender Man references many classic, canonical horror monsters while simultaneously expressing an acute anxiety about the contemporary digital context that birthed him. This anxiety is apparent in the collective legends that have risen around the Slender Man since 2009, but it figures particularly strongly in the Web series Marble Hornets (Troy Wagner and Joseph DeLage June 2009 - ). This thesis examines Marble Hornets as an example of an emerging trend in digital, online cinema that it defines as “folk horror”: a subgenre of horror that is produced by online communities of everyday people— or folk—as opposed to professional crews working within the film industry. Works of folk horror address the questions and anxieties of our current, digital age by reflecting the changing roles and behaviours of the everyday person, who is becoming increasingly involved with the products of popular culture. After providing a context for understanding folk horror, this thesis analyzes Marble Hornets through the lens of folkloric narrative structures such as legends and folktales, and vernacular modes of filmmaking such as cinéma direct and found footage horror. -
Countering Terrorism Online with Artificial Intelligence an Overview for Law Enforcement and Counter-Terrorism Agencies in South Asia and South-East Asia
COUNTERING TERRORISM ONLINE WITH ARTIFICIAL INTELLIGENCE AN OVERVIEW FOR LAW ENFORCEMENT AND COUNTER-TERRORISM AGENCIES IN SOUTH ASIA AND SOUTH-EAST ASIA COUNTERING TERRORISM ONLINE WITH ARTIFICIAL INTELLIGENCE An Overview for Law Enforcement and Counter-Terrorism Agencies in South Asia and South-East Asia A Joint Report by UNICRI and UNCCT 3 Disclaimer The opinions, findings, conclusions and recommendations expressed herein do not necessarily reflect the views of the Unit- ed Nations, the Government of Japan or any other national, regional or global entities involved. Moreover, reference to any specific tool or application in this report should not be considered an endorsement by UNOCT-UNCCT, UNICRI or by the United Nations itself. The designation employed and material presented in this publication does not imply the expression of any opinion whatsoev- er on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries. Contents of this publication may be quoted or reproduced, provided that the source of information is acknowledged. The au- thors would like to receive a copy of the document in which this publication is used or quoted. Acknowledgements This report is the product of a joint research initiative on counter-terrorism in the age of artificial intelligence of the Cyber Security and New Technologies Unit of the United Nations Counter-Terrorism Centre (UNCCT) in the United Nations Office of Counter-Terrorism (UNOCT) and the United Nations Interregional Crime and Justice Research Institute (UNICRI) through its Centre for Artificial Intelligence and Robotics. -
Congressional Record—Senate S4658
S4658 CONGRESSIONAL RECORD — SENATE August 3, 2020 The PRESIDING OFFICER. Without companies censor political viewpoints employ disturbing and familiar im- objection, it is so ordered. that they find objectionable. That was agery. COMMUNICATIONS DECENCY ACT 2 years ago. It has only worsened in the According to the ESPN investiga- Mr. WICKER. Madam President, for 2 years since then. tion, one former league employee com- almost 25 years, the internet has grown These concerns come at a time when pared the atmosphere at the Xinjiang and thrived under the light-touch regu- tech companies wield unprecedented camp to ‘‘World War II Germany.’’ latory framework established by the power within our economy and our cul- An American coach, who worked at a Communications Decency Act. I hope ture at large, and no one can deny that. similar facility, described it as a we can continue that. I think some A bipartisan chorus of committee ‘‘sweat camp for athletes.’’ changes need to be made. members from the other body pointed Now, according to the investigation, Passed in 1996, the law that the Com- this out just last week. More and more almost immediately after the NBA munications Decency Act is a part of of our daily business is taking place launched this program back in 2016, helped create the internet. Section 230 online, and that trend is only accel- multiple coaches who were staffing the of that law gives broad liability protec- erating during the current pandemic. camps reported to high-ranking organi- tions to interactive computer services, As we near the 2020 election, Ameri- zation officials that they had witnessed such as Facebook, Twitter, and other cans have serious concerns about Chinese coaches beating and berating social media platforms.