Click-Tracking Blocker: Privacy Preservation by Disabling Search Engines’ Click-Tracking
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Searching for Privacy: How to Protect Your Search Activity
Searching for Privacy: How to Protect Your Search Activity Abstract: This guide explains how to perform searches anonymously, protecting you from increasingly intrusive tracking and analysis by corporate and governmental organizations. Toll free: 866.760.0222 Toll free: 0808.101.2678 www.ioactive.com Copyright ©2010 by IOActive, Incorporated All Rights Reserved. Contents Understanding the Problem.................................................................................................................. 2 You are not Anonymous ....................................................................................................................... 2 A Solution ............................................................................................................................................. 3 Configuring your computer to perform anonymized searches.............................................................. 5 Conclusion.......................................................................................................................................... 16 References ......................................................................................................................................... 17 About IOActive.................................................................................................................................... 17 Confidential. Proprietary. Understanding the Problem If you have something that you don't want anyone to know, maybe you shouldn't be doing it in the first place. If you -
In-Depth Evaluation of Redirect Tracking and Link Usage
Proceedings on Privacy Enhancing Technologies ; 2020 (4):394–413 Martin Koop*, Erik Tews, and Stefan Katzenbeisser In-Depth Evaluation of Redirect Tracking and Link Usage Abstract: In today’s web, information gathering on 1 Introduction users’ online behavior takes a major role. Advertisers use different tracking techniques that invade users’ privacy It is common practice to use different tracking tech- by collecting data on their browsing activities and inter- niques on websites. This covers the web advertisement ests. To preventing this threat, various privacy tools are infrastructure like banners, so-called web beacons1 or available that try to block third-party elements. How- social media buttons to gather data on the users’ on- ever, there exist various tracking techniques that are line behavior as well as privacy sensible information not covered by those tools, such as redirect link track- [52, 69, 73]. Among others, those include information on ing. Here, tracking is hidden in ordinary website links the user’s real name, address, gender, shopping-behavior pointing to further content. By clicking those links, or or location [4, 19]. Connecting this data with informa- by automatic URL redirects, the user is being redirected tion gathered from search queries, mobile devices [17] through a chain of potential tracking servers not visible or content published in online social networks [5, 79] al- to the user. In this scenario, the tracker collects valuable lows revealing further privacy sensitive information [62]. data about the content, topic, or user interests of the This includes personal interests, problems or desires of website. Additionally, the tracker sets not only third- users, political or religious views, as well as the finan- party but also first-party tracking cookies which are far cial status. -
Paid Social Trends Iprospect QUARTERLY REPORT | 2017 Q4
Paid Social Trends iPROSPECT QUARTERLY REPORT | 2017 Q4 By Brittany Richter, VP, Head of Social Media and Katherine Patton, Director, Paid Social iProspect.com COPYRIGHT 2018 © iPROSPECT, INC. ALL RIGHTS RESERVED. iProspect Quarterly Report Paid Social Trends | 2017 Q4 2 Reviewing Overarching Q4 2017 Trends While the cost of inventory continues to rise, so does the value that brands see in paid social advertising. The brands that saw the strongest Q4 business performance were the ones that leveraged the Facebook pixel, optimized toward site engagement (Retail) or Reach (CPG, branding), took advantage of Dynamic Broad Audiences (DABA), and planned content designed for the feed. Based on iProspect client data, paid social continues to drive performance in its own right while also fueling our clients’ first-party data, which can be leveraged to drive cross-channel performance. The following trends and insights are based on analysis of the data from more than 210 brands managed by iProspect U.S. (though the spend is not confined to U.S. mar- kets). The spend data is representative of Facebook, Instagram, Pinterest, Snap, Inc., and Twitter, while performance data is specific to Facebook and Instagram only. SPEND Overall, iProspect’s paid social clients’ total Q4 social spend was up 72% quarter over quarter (QoQ) compared to Q3 2017, and 86% year over year (YoY) when compared to Q4 of 2016. Q4 is consistently the busiest time of the year for many of our clients, so it’s not unusual to see an increase spend as they strive to hit annual goals and capitalize on the holiday time period. -
Longitudinal Study of Links, Linkshorteners, and Bitly Usage on Twitter Longitudinella Mätningar Av Länkar, Länkförkortare Och Bitly An- Vänding På Twitter
Linköping University | Department of Computer and Information Science Bachelor’s thesis, 16 ECTS | Link Usage 2020 | LIU-IDA/LITH-EX-G--20/001--SE Longitudinal study of links, linkshorteners, and Bitly usage on Twitter Longitudinella mätningar av länkar, länkförkortare och Bitly an- vänding på Twitter Mathilda Moström Alexander Edberg Supervisor : Niklas Carlsson Examiner : Marcus Bendtsen Linköpings universitet SE–581 83 Linköping +46 13 28 10 00 , www.liu.se Upphovsrätt Detta dokument hålls tillgängligt på Internet - eller dess framtida ersättare - under 25 år från publicer- ingsdatum under förutsättning att inga extraordinära omständigheter uppstår. Tillgång till dokumentet innebär tillstånd för var och en att läsa, ladda ner, skriva ut enstaka ko- pior för enskilt bruk och att använda det oförändrat för ickekommersiell forskning och för undervis- ning. Överföring av upphovsrätten vid en senare tidpunkt kan inte upphäva detta tillstånd. All annan användning av dokumentet kräver upphovsmannens medgivande. För att garantera äktheten, säker- heten och tillgängligheten finns lösningar av teknisk och administrativ art. Upphovsmannens ideella rätt innefattar rätt att bli nämnd som upphovsman i den omfattning som god sed kräver vid användning av dokumentet på ovan beskrivna sätt samt skydd mot att dokumentet ändras eller presenteras i sådan form eller i sådant sammanhang som är kränkande för upphovsman- nens litterära eller konstnärliga anseende eller egenart. För ytterligare information om Linköping University Electronic Press se förlagets hemsida http://www.ep.liu.se/. Copyright The publishers will keep this document online on the Internet - or its possible replacement - for a period of 25 years starting from the date of publication barring exceptional circumstances. The online availability of the document implies permanent permission for anyone to read, to down- load, or to print out single copies for his/hers own use and to use it unchanged for non-commercial research and educational purpose. -
Webtrekk Documentation
Documentation Webtrekk GmbH | Robert-Koch-Platz 4 | 10115 Berlin Webtrekk Support | [email protected] Teaser Tracking Plugin (v2) Table of Contents 1 Disclaimer 3 1.1 Introduction 4 2 Technical Requirements 5 2.1 Browser Support 5 3 Creating Teaser Parameters 6 4 Configuring and Activating the Plugin 8 4.1 Tag Integration (Web) 8 4.2 JavaScript 10 5 Initializing the Teaser Elements 13 6 Best Practices 16 6.1 View Tracking with Dynamic Teaser Insertion 16 6.2 View Tracking 17 6.3 Customizing a Website Goal 18 6.4 Customizing the Engagement Page 18 12/13/2018 2/18 Teaser Tracking Plugin (v2) 1 Disclaimer This manual is the intellectual property of Webtrekk GmbH. This includes the contents but also all images, tables, and drawings. Change or removal of copyright notices, registering mark or control numbers are not allowed. Any use not permitted by German copyright law requires the prior written consent of the respective author or creator. This applies in particular to reproduction, editing, translation, storage, processing or distribution of contents in databases or other electronic media and systems. Webtrekk GmbH allows the use of the content solely for the contractual purpose. It should be noted that the contents of this manual may be subject to changes, without that a reporting obligation on the part of Webtrekk GmbH can be derived from this. Users of this manual must independently obtain information themselves, whether modified versions or notes to the contents are present, for example on the Internet at https://docs.webtrekk.com/, and take these into account during operation. -
Overview Trackings
Overview Trackings Category Tracking Name Description Essential cbAcAuth This cookie is necessary to authenticate an affiliate. Cookies Essential cbAcAuth1 This cookie is necessary to authenticate an affiliate. Cookies Essential This cookie is used to save information about your session so cbsession Cookies that we can correctly process your purchase. Essential This cookie is necessary to authenticate your session on our cbsession1 Cookies platform. Essential This cookie is necessary to process your actions on our cbsession2 Cookies platform. This cookie is used to save important information about your Essential p0 purchase so we can correctly display your purchase Cookies information. Essential This cookie is necessary to correctly process payment provider pr_{transactionId} Cookies information. AB Testing and Machine Learning. Conductrics uses machine Performance learning to optimize website or application behavior to meet Conductrics Cookies defined objectives. Machine learning can be cross-referenced with "targeting" data like geo-location or user segment. Performance enableFlash This cookie is necessary to enable Flash on our website. Cookies Performance Google Optimize Google Optimize is a custom A/B Testing from Google. Cookies A/B Testing from google. Tests different variations of a website Performance Google Optimizer and then tailors it to deliver a personalized experience for each Cookies Asynchronous customer and their business. Performance InsertTask This cookie is necessary to correctly process task information. Cookies Performance License Key Push for Custom script sharing your license key with Acronis. This is Cookies vmProtect required for proper use of their product. Performance This cookie is used to identify that a checkout preview is active preview-{sessionId} Cookies and used to load the checkout preview data. -
Fordcommercialvehiclecenter.Com Privacy Statement
fordcommercialvehiclecenter.com Privacy Statement 1. General Statement: We respect your privacy and are committed to protecting it. This privacy statement explains our policies and practices regarding online customer information. It is through this disclosure that we intend to provide you with a level of comfort and confidence in how we collect, use, and safeguard personal and other information we collect or that you provide through this website, and how you can contact us if you have any questions or concerns. It is our sincere hope that by explaining our data handling practices we will develop a trusting and long-lasting relationship with you. By using the site, you agree to the terms of this privacy statement. 2. Information About Our Organization and Website and General Data Collection Practices: This Privacy Statement applies to www.fordcommercialvehiclecenter.com is administered by Marketing Associates, 777 Woodward Avenue, Detroit, MI 48226 on behalf of Ford Motor Company. The business purpose of this website is to provide Ford commercial business customers with an online Ford Commercial Vehicle Center dealer locator, and product and upfit incentive information. For added convenience, a select set of site features are accessible from web-enabled mobile devices as a mobile-optimized web experience. These site features may be limited in functionality. Online Tracking Information When you visit this site analytics providers may collect information about your online activity over time and across websites. Because there is not yet a common understanding of how to interpret web browser-based “Do Not Track” (“DNT”) signals other than cookies, Ford Motor Company does not currently respond to undefined “DNT” signals to its US websites. -
The Search for Consumers of Web-Based Raw DNA Interpretation Services: Using Social Media to Target Hard-To-Reach Populations
JOURNAL OF MEDICAL INTERNET RESEARCH Cahill et al Original Paper The Search for Consumers of Web-Based Raw DNA Interpretation Services: Using Social Media to Target Hard-to-Reach Populations Tiernan J Cahill1, MA; Blake Wertz1, MA; Qiankun Zhong1, MA; Andrew Parlato1, MA; John Donegan1, MA, MBA; Rebecca Forman1, MA; Supriya Manot1, MA; Tianyi Wu1, MA; Yazhu Xu1, MA; James J Cummings1, PhD; Tricia Norkunas Cunningham2, MPH, MA; Catharine Wang2, PhD, MSc 1Division of Emerging Media, Boston University College of Communication, Boston, MA, United States 2Department of Community Health Sciences, Boston University School of Public Health, Boston, MA, United States Corresponding Author: Catharine Wang, PhD, MSc Department of Community Health Sciences Boston University School of Public Health 801 Massachusetts Avenue Boston, MA, 02118 United States Phone: 1 617 358 1475 Email: [email protected] Related Article: This is a corrected version. See correction statement in: http://www.jmir.org/2019/8/e15735/ Abstract Background: In recent years, there has been a proliferation of third-party Web-based services available to consumers to interpret raw DNA from direct-to-consumer genetic testing companies. Little is known about who uses these services and the downstream health implications. Identifying this hard-to-reach population of consumers for research raised questions about the most effective recruitment methods to undertake. Past studies have found that Web-based social media survey distribution can be cost-effective for targeting hard-to-reach populations, yet comparative efficacy information across platforms is limited. Objective: The aim of this study was to identify the most effective Web-based strategies to identify and recruit the target population of direct-to-consumer genetic testing users who also made use of third-party interpretation services to analyze their raw genetic data. -
How to Download Youtube Videos in Chrome Browser How to Download Youtube Videos in Chrome
how to download youtube videos in chrome browser How to Download YouTube Videos in Chrome. This article was co-authored by Luigi Oppido. Luigi Oppido is the Owner and Operator of Pleasure Point Computers in Santa Cruz, California. Luigi has over 25 years of experience in general computer repair, data recovery, virus removal, and upgrades. He is also the host of the Computer Man Show! broadcasted on KSQD covering central California for over two years. The wikiHow Tech Team also followed the article's instructions and verified that they work. This article has been viewed 1,512,289 times. This wikiHow teaches you how to download a YouTube video onto your computer from within the Google Chrome web browser. Your best bet for downloading HD videos without ads or restrictions is using 4K Video Downloader on your computer, but you can still use a handful of websites to download videos in Google Chrome. Keep in mind that most YouTube download sites are ad-sponsored, and they won't be able to download copyright-protected videos; most YouTube download sites also can't download videos in 1080p. Since downloading YouTube videos violates Google's terms and conditions, Chrome extensions that purport to do this usually don't work. Easy Google Chrome YouTube Downloader Add-on (2021 Update) Add-on for Google Chrome can help the user to download videos from the Internet with one click, instead of having to access a new website or installing software. These Add-ons help to download videos from Google Chrome, being able to download videos from Facebook, Twitter, YouTube, Instagram, DailyMotion and many other sites easily. -
Webtrends Administration User's Guide
WebTrends Administration User’s Guide July 2009 Edition | © 2009 WebTrends Inc. Documentation Center Send Feedback Disclaimer This document and the software described in this document are furnished under and are subject to the terms of a license agreement or a non-disclosure agreement. EXCEPT AS EXPRESSLY SET FORTH IN A LICENSE AGREEMENT, WEBTRENDS INC. PROVIDES THIS DOCUMENT AND THE SOFTWARE DESCRIBED IN THIS DOCUMENT "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. You agree that you shall not loan, sell, or otherwise transfer this document or the software described in this document. Except as expressly set forth in a license agreement, you agree that you shall not reproduce, store in a retrieval system, or transmit in any form or by any means, electronic, mechanical, or otherwise, all or any part of this document or the software described in this document. Some companies, names, and data in this document are used for illustration purposes and do not represent real companies, individuals, or data. This document may include technical inaccuracies or typographical errors. WebTrends Inc. may make improvements in or changes to the software described in this document at any time. © 1996-2009 WebTrends Inc. All rights reserved. U.S. Government Restricted Rights: The software is "commercial software." If the software and documen- tation are being acquired by or on behalf of the U.S. Government or by a U.S. Government prime contractor or subcontractor (at any tier), in accordance with 48 C.F.R. -
Web Usage Mining: Application to an Online Educational Digital Library Service
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 5-2012 Web Usage Mining: Application To An Online Educational Digital Library Service Bart C. Palmer Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Education Commons, and the Philosophy Commons Recommended Citation Palmer, Bart C., "Web Usage Mining: Application To An Online Educational Digital Library Service" (2012). All Graduate Theses and Dissertations. 1215. https://digitalcommons.usu.edu/etd/1215 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. WEB USAGE MINING: APPLICATION TO AN ONLINE EDUCATIONAL DIGITAL LIBRARY SERVICE by Bart C. Palmer A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Instructional Technology and Learning Sciences Approved: Dr. Mimi Recker Dr. James Dorward Major Professor Committee Member Dr. Anne R. Diekema Dr. Jamison Fargo Committee Member Committee Member Dr. Andrew Walker Dr. Mark R. McLellan Committee Member Vice President for Research and Dean of the School of Graduate Studies UTAH STATE UNIVERSITY Logan, Utah 2012 ii Copyright c Bart C. Palmer 2012 All Rights Reserved iii ABSTRACT Web Usage Mining: Application to an Online Educational Digital Library Service by Bart C. Palmer, Doctor of Philosophy Utah State University, 2012 Major Professor: Dr. Mimi Recker Department: Instructional Technology & Learning Sciences This dissertation was situated in the crossroads of educational data mining (EDM), educational digital libraries (such as the National Science Digital Library; http://nsdl.org), and examination of teacher behaviors while creating online learning resources in an end-user authoring system, the Instructional Architect (IA; http://ia.usu.edu). -
Interactive Advertising Bureau Click Measurement Guidelines Version 1.0—Final Release May 12, 2009 IAB Click Measurement Guidelines
Interactive Advertising Bureau Click Measurement Guidelines Version 1.0—Final Release May 12, 2009 IAB Click Measurement Guidelines Introduction These guidelines are meant to establish the minimum acceptable counting procedures for the media buying currency “clicks”. The guidelines are focused on when a click will count - the actual revenue event. As with all measurement standards, click counting organizations including search engine providers, publishers and networks may choose to offer additional enhancements to these guidelines for competitive differentiation, so long as they fully disclose these features while meeting the minimum accepted guidelines. In many ways, these guidelines are similar to guidelines already in place for general ad impressions and digital video commercials. The definitions included in this document are a continuation of the Measurement Certification Initiative led by the Interactive Advertising Bureau (IAB) and facilitated by the Media Rating Council (MRC), and these guidelines are meant to be an addendum to the existing Ad Impression Measurement Guidelines published in 2004. Scope and Applicability The recommendations established in these guidelines provide the detailed definition of a “click” and the standard by which clicks should be measured and counted, including the identification of invalid and/or fraudulent clicks. The guidelines are intended to cover on-line browser or browser-equivalent based Internet activity. Additionally, any emerging technology utilizing standard HTTP protocols will be covered by these guidelines. This document is principally applicable to media companies, ad-serving organizations, advertisers, third-party click auditors and the agents of these organizations and is intended as a guide to accepted practice, as developed by the Interactive Advertising Bureau (IAB) and the Media Rating Council (MRC).