Social Media Marketing: an Hour a Day, Second Edition
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Integrated Public Alert and Warning System Wireless Emergency Alerts Understand and Respond to Public Sentiment
Integrated Public Alert and Warning System Wireless Emergency Alerts Understand and Respond to Public Sentiment First Responders Group November 30, 2014 Integrated Public Alert and Warning System Wireless Emergency Alerts Understand and Respond to Public Sentiment HS HSSEDI™ Task HSHQDC-13-J-00097 Version 4.0 This document is a product of the Homeland Security Systems Engineering and Development Institute (HS HSSEDI™). ACKNOWLEDGEMENTS The Homeland Security Systems Engineering and Development Institute (hereafter “HS HSSEDI” or “HSSEDI”) is a federally funded research and development center established by the Secretary of Homeland Security under Section 305 of the Homeland Security Act of 2002. The MITRE Corporation operates HSSEDI under the Department of Homeland Security (DHS) contract number HSHQDC- 09-D-00001. HSSEDI’s mission is to assist the Secretary of Homeland Security, the Under Secretary for Science and Technology, and the DHS operating elements in addressing national homeland security system development issues where technical and systems engineering expertise is required. HSSEDI also consults with other government agencies, nongovernmental organizations, institutions of higher education and nonprofit organizations. HSSEDI delivers independent and objective analyses and advice to support systems development, decision making, alternative approaches and new insight into significant acquisition issues. HSSEDI’s research is undertaken by mutual consent with DHS and is organized by tasks in the annual HSSEDI Research Plan. This report presents the results of test planning conducted under HSHQDC-13-J-00097, Science and Technology Directorate (S&T) FEMA Integrated Public Alert and Warning System (IPAWS)/Wireless Emergency Alert (WEA) Test and Evaluation of HSSEDI’s Fiscal Year 2013 Research Plan. -
24 Hours of Vine: Big Data and Social Performance
Technological University Dublin ARROW@TU Dublin Conference Papers Fine Arts 2014 24 Hours of Vine: Big Data and Social Performance Conor McGarrigle Technological University Dublin, [email protected] Follow this and additional works at: https://arrow.tudublin.ie/aaschadpcon Part of the Art and Design Commons Recommended Citation McGarrigle, C. (2014) ‘24 Hours of Vine; Big Data and Social Performance’. In Digital Research in the Humanities and Arts . Greenwich University, London. This Conference Paper is brought to you for free and open access by the Fine Arts at ARROW@TU Dublin. It has been accepted for inclusion in Conference Papers by an authorized administrator of ARROW@TU Dublin. For more information, please contact [email protected], [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License 24 hours of Vine, big data and social performance Digital Research in the humanities and Arts Conference, 2014. Conor McGarrigle Emergent Digital Practices University of Denver Denver CO USA Abstract—24h Social is a generative a data-driven generative approached through a case study of the video sharing platform video installation that explores the social media phenomenon of Vine and this author's data art project 24h Social that Vine video as performances in data. The project is created from intervened to capture a day of Vine videos [2]. The project a database of appropriated Vine content, extracted from millions simultaneously celebrates Vine as a platform that facilitates of tweets, with each video shown at the time of its original succinct creative expressions whilst acknowledging that these creation. -
Abbott, Susan, “Customer Crossroads,” 107 Action Metrics, 307 Adams, Roger, 42 Adbusters Media Foundation, 19 Adgabber
Index Note to the reader: Throughout this index boldfaced page numbers indicate primary discussions of a topic. Italicized page numbers indicate illustrations. A Anderson, Chris, 250 Andreesen, Marc, 61–62 Abbott, Susan, “Customer Angry Customers Tell 3000 Crossroads,” 107 (Blackshaw), 106 action metrics, 307 animation, 63 Adams, Roger, 42 anonymous ratings, disallowing, 247 Adbusters Media Foundation, 19 anonymous survey, 138 AdGabber, 74, 75, 190 AOL (America Online), 4, 19, 73 395 Advergaming, 21 application developers, in Facebook, 75 ■ INDEX advertising. See also word-of-mouth Atom, 70 American attitudes on, 17 audience backlash against, 26 connections, 304–305 direct mail, 8 defining, 291–292, 321 effectiveness assessed, 298 participation in social media creation, 34 online, 9 understanding, 310 in podcasts, 229 audio podcasting, 71, 174, 228–233 on social networks, 77 audio testimonials, 222 and Social Web, 210 automobile dealers, 129 spending on, 40 awareness, 94–95, 292 time devoted to, 6 building, 269 traditional, 290 marketers focus on, 43 trustworthiness, 20 source of, 83 Advertising Age, 19, 42, 212 advertising avoidance, 154 viewer response to, 16–19 B advertising campaign, response to, 132 backlash airline marketing, 108–109 against advertising, 26 AJAX, 305 from rebates, 105 alli, 80 bacn, 278 Always Be Testing (Eisenberg), 331 bad reviews, 247, 249 Amazon, 21 ballot stuffing, preventing in reviews and online reviews, 176 ratings, 247 reviews of reviews, 248 Bank of America Small Business America Online (AOL), 4, 19, 73 Community, 203 American Airlines, Travel Bag, 165 banner ads, 90, 165 Americans, attitudes on advertising, 17 “Banner Blindness” study, 10 analog data, vs. -
Robôs-PP2-Inglês.Pdf
DIRETORIA DE ANÁLISE DE POLÍTICAS PÚBLICAS DA FUNDAÇÃO GETULIO VARGAS Policy Paper 2 • Bots, social networks and politics in Brazil • Interference of automated profiles and political actors in the Brazilian electoral debate Rio de Janeiro, Brazil FGV DAPP 2018 Bots, social networks and politics in Brazil 1 DIRETORIA DE ANÁLISE DE POLÍTICAS PÚBLICAS DA FUNDAÇÃO GETULIO VARGAS SUMMARY • 1. EXECUTIVE SUMMARY 4 2. GENERAL OVERVIEW 4 2.1 ANALYSIS RESULTS OF THE INFLUENCE OF AUTOMATED PROFILES ON THE 2014 ELECTIONS 6 2.2 ANALYSIS RESULTS OF THE INFLUENCE OF AUTOMATED PROFILES ON THE 2018 ELECTIONS 6 3. ANALYSIS OF THE INFLUENCE OF BOTNETS ON THE 2018 ELECTIONS PUBLIC DEBATE 7 3.1 PKTWEET GENERATOR 10 3.1.1 Analysis of the profiles 12 3.1.2 Pktweet in diffusion chains 16 3.1.2 Gran Polo Patriotico: another suspect generator 18 3.2. GENERATOR SEESMIC FOR BLUEBERRY 19 3.2.1 Analysis of profiles 20 3.2.2 Other Argentine generators 26 3.2.3 Seesmic for Blueberry in the diffusion chains 27 4. COMPARATIVE ANALYSIS 28 5. CONCLUSION 34 REFERENCES 35 EDITORIAL STAFF 36 Bots, social networks and politics in Brazil 2 DIRETORIA DE ANÁLISE DE POLÍTICAS PÚBLICAS DA FUNDAÇÃO GETULIO VARGAS 1. EXECUTIVE SUMMARY ● Bot activity in social networks has affected Latin America political contexts on a regular basis for years, similarly to its already proven interference in other countries such as France, Germany, the United Kingdom, and the United States. ● In Brazil, the activity of automated profiles on Twitter had already been found in post sharing during the electoral campaign of Aécio Neves, Marina Silva, and Dilma Rousseff, the main presidential candidates of 2014. -
Making Sense of Microposts (#Microposts2015) Big Things Come in Small Packages
Proceedings of the 5th Workshop on Making Sense of Microposts (#Microposts2015) Big things come in small packages at the 24th International Conference on the World Wide Web (WWW’15) Florence, Italy 18th of May 2015 edited by Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie Preface #Microposts2015, the 5th Workshop on Making Sense of Microp- moment, breaking news, local and context-specific information and osts, was held in Florence, Italy, on the 18th of May 2015, during personal stories, resulted in an increased sense of community and (WWW’15), the 24th International Conference on the World Wide solidarity. Interestingly, in response to emergencies, mass demon- Web. The #Microposts journey started at the 8th Extended Se- strations and other social events such as festivals and conferences, mantic Web Conference (ESWC 2011, as #MSM, with the change when regular access to communication services is often interrupted in acronym from 2014), and moved to WWW in 2012, where it and/or unreliable, developers are quick to offer alternatives that end has stayed, for the fourth year now. #Microposts2015 continues to users piggyback on to post information. Line was born to serve highlight the importance of the medium, as we see end users appro- such a need, to provide an alternative communication service and priating Microposts, small chunks of information published online support emergency response during a natural disaster in Japan in with minimal effort, as part of daily communication and to interact 2011. Its popularity continued beyond its initial purpose, and Line with increasingly wider networks and new publishing arenas. has grown into a popular (regional) microblogging service. -
Using Discovertext for Large Scale Twitter Harvesting
MDR, Vol. 41, pp. 121–125, December 2012 • Copyright © by Walter de Gruyter • Berlin • Boston. DOI 10.1515/mir-2012-0019 Using DiscoverText for Large Scale Twitter Harvesting Yngvil Beyer Yngvil Beyer ([email protected]) is Ph.D. fellow at the National Library of Norway and University of Oslo, Norway. Introduction How can institutions like the National Library of Norway preserve new media content like Twitter for future research and documentation? This question is the topic this short paper, where I am presenting an ongoing research project, focusing on the data collec- discussed thoroughly in my forthcoming article «@ tion and some preliminary findings. jensstoltenberg talte til oss på Twitter»3 (Beyer 2012). The research question builds on two important un- Then, returning to my initial question concerning derlying conditions. Firstly, preserving the nation’s how such preservation might be carried out. In early national memory is explicitly mentioned in the Na- 2010 the US Library of Congress announced that tional Library’s mission statement. they would archive all tweets ever tweeted (Library of Congress 2010). The details about this archive are The National Library of Norway is responsible yet to be revealed. The infrastructure necessary to for administering the Act relating to the legal give access to the collection is yet not in place. Nei- deposit of generally available documents. The ther is it specified to what extent the collection will purpose of this act is to ensure that documents be made available, to whom, in which format, under with generally available information are depos- what conditions or including which data. -
Intelligent Tools for Policy Design
Intelligent Tools for Policy Design Deliverable 2.1 – FUPOL Guidelines on Policy for Cities and Municipalities Project Reference No. 287119 Deliverable No. D 2.1 Relevant workpackage: WP 2 Nature: Report Dissemination Level: Public Document version: FINAL Editor(s): Susanne Sonntagbauer Contributors: Susanne Sonntagbauer, Anna Hassapi, Silvana Tomic-Rotim, Haris Neophytou, Miquel Angel Piera Eroles, Miguel Antonio Mujica Mota, Elena Palmisano Document description: The objective of this document is to design the guidelines on policy for cities and municipalities, which includes an overview of all policy domains relevant for cities and municipalities, Interdependencies between policy domains, recommended policy analysis methods by domain (qualitative and quantitative), a first assessment of domains and topics concerning the technical feasibility (agent-based modelling or other simulation techniques) ta king into account existing approaches, data availability, priorities assigned to each domain, identification of a first set of data FUPOL data base, security requirements, legal 1 ethical issue History Version Date Reason Prepared / Revised by 0.1 04-10-2011 Initial version Susanne Sonntagbauer 0.2 08-10-2011 Initial version Susanne Sonntagbauer 0.3 11-10-2011 Policy Domains Susanne Sonntagbauer 0.4 14-10-2011 Policy Domains Susanne Sonntagbauer 0.5 16-10-2011 Amendments/Edition Susanne Sonntagbauer 0.6 18-10-2011 Design of Questionnaire Susanne Sonntagbauer 0.7 21-10-2011 Definition of Dataset (Eurostat) Susanne Sonntagbauer 0.8 23-10-2011 -
On Two Existing Approaches to Statistical Analysis of Social Media Data
On two existing approaches to statistical analysis of social media data M. Patone∗1 and L.-C. Zhang y1,2 1Department of Social Statistics and Demography, Univ. of Southampton, UK 2Statistisk sentralbyr˚a,Norway May 3, 2019 Abstract Using social media data for statistical analysis of general population faces com- monly two basic obstacles: firstly, social media data are collected for different objects than the population units of interest; secondly, the relevant measures are typically not available directly but need to be extracted by algorithms or machine learning tech- niques. In this paper we examine and summarise two existing approaches to statistical analysis based on social media data, which can be discerned in the literature. In the first approach, analysis is applied to the social media data that are organised around the objects directly observed in the data; in the second one, a different analysis is applied to a constructed pseudo survey dataset, aimed to transform the observed social media data to a set of units from the target population. We elaborate systematically the relevant data quality frameworks, exemplify their applications, and highlight some typical challenges associated with social media data. arXiv:1905.00635v1 [stat.AP] 2 May 2019 Key words: quality, representation, measurement, test, non-probability sample. 1 Introduction There has been a notable increase of interest from researchers, companies and governments to conduct statistical analysis based on social media data collected from platforms such as ∗[email protected] [email protected] 1 Twitter or Facebook (see e.g. Kinder-Kurlanda and Weller (2014); Braojos-Gomez et al. -
Social Media Compendium Oktober 2009
Social Media Compendium Oktober 2009 COMMUNITY PLATFORMS / SOCIAL NETWORKS NICHED COMMUNITIES BLOG PLATFORMS BLOG COMMUNITIES & TOOLS / FORUM BLOG SEARCH COMMENT / REPUTATION MICROMEDIA / MICROBLOGGING SOCIAL BOOKMARKING CROWDSOURCED CONTENT CUSTOMER SERVICE, REVIEWS TEXT & PRESENTATION PUBLISHING & SHARING IMAGE SHARING & HOSTING IMAGE SEARCH IMAGE EDITING MUSIC SHARING & STREAMING VIDEO PUBLISHING & SHARING INSTRUCTIONAL & EDUCATIONAL VIDEOS VIDEO SEARCH ENGINES VIDEO STREAMING FEEDS / NEWS AGGREGATOR SOCIAL AGGREGATOR / PROFILE MANAGER LOCATION!BASED EVENTS DIRECT COMMUNICATION "IM / SMS / VOICE# WIKIS COLLABORATIVE PLATFORMS PRODUCTIVITY TOOLS INFORMATION DATABASES / MONITORING MEDIA & COMMUNICATION BLOGS SEARCH ENGINES REAL!TIME SEARCH by Matthieu Hartig ■ [email protected] ■ @matthartig COMMUNITY PLATFORMS / SOCIAL NETWORKS facebook.com (2) Facebook is the world’s largest free-access social networking website. Users can join networks organized by city, workplace, school, and region to connect and interact with other people. People can also add friends and send them messages, and update their personal pro"les to notify friends. hi5.com (43) hi5 is an international social network with a local #avor. It enables members to stay connect- ed, share their lives, and learn what’s happening around them – through customizable pro"le pages, messaging, unlimited photo storage, hundreds of OpenSocial applications and more. friendster.com (117) Founded in 2002, Friendster is one of the web’s older social networking services. Adults, 16 and up can join and connect with friends, family, school, groups, activities and interests. $e site currently has over 50 million users. Over 90% of Friendster’s tra%c comes from Asia. tagged.com (109) Protecting the safety of their users is what makes Tagged di&erent from other social network- ing sites. -
Dane Z Internetu. Rola Rafinacji Informacji Sieciowej W Kampaniach Wyborczych
Wydział Dziennikarstwa i Nauk Politycznych Uniwersytetu Warszawskiego Dane z internetu. Rola rafinacji informacji sieciowej w kampaniach wyborczych mgr Paweł Kuczma Praca doktorska wykonana pod kierunkiem prof. dr. hab. inż. Włodzimierza Gogołka oraz dr. Krzysztofa Kowalika, Instytut Dziennikarstwa, Wydział Dziennikarstwa i Nauk Politycznych Uniwersytetu Warszawskiego Niniejsza praca jest dostępna na międzynarodowej licencji Creative Commons Uznanie Autorstwa 4.0. Treść licencji dostępna jest na stronie http://creativecommons.org/licenses/by/4.0/. Warszawa, luty 2016 Spis treści Wstęp .......................................................................................... 4 Rozdział 1. Ideologia web 2.0 i media społecznościowe ............ 22 1.1. Web 2.0 ................................................................................... 22 1.1.1. Definicja pojęcia web 2.0 .......................................................... 23 1.1.2. Cechy web 2.0 ......................................................................... 23 1.1.3. Krytyka web 2.0 i User Generated Content ................................... 52 1.1.4. Web 3.0 ................................................................................. 58 1.2. Media społecznościowe .............................................................. 66 1.2.1. Definicja mediów społecznościowych ........................................... 67 1.2.2. Historia mediów społecznościowych ............................................ 72 1.2.3. Typy mediów społecznościowych ............................................... -
Online Research Tools
Online Research Tools A White Paper Alphabetical URL DataSet Link Compilation By Marcus P. Zillman, M.S., A.M.H.A. Executive Director – Virtual Private Library [email protected] Online Research Tools is a white paper link compilation of various online tools that will aid your research and searching of the Internet. These tools come in all types and descriptions and many are web applications without the need to download software to your computer. This white paper link compilation is constantly updated and is available online in the Research Tools section of the Virtual Private Library’s Subject Tracer™ Information Blog: http://www.ResearchResources.info/ If you know of other online research tools both free and fee based feel free to contact me so I may place them in this ongoing work as the goal is to make research and searching more efficient and productive both for the professional as well as the lay person. Figure 1: Research Resources – Online Research Tools 1 Online Research Tools – A White Paper Alpabetical URL DataSet Link Compilation [Updated: August 26, 2013] http://www.OnlineResearchTools.info/ [email protected] eVoice: 800-858-1462 © 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013 Marcus P. Zillman, M.S., A.M.H.A. Online Research Tools: 12VPN - Unblock Websites and Improve Privacy http://12vpn.com/ 123Do – Simple Task Queues To Help Your Work Flow http://iqdo.com/ 15Five - Know the Pulse of Your Company http://www.15five.com/ 1000 Genomes - A Deep Catalog of Human Genetic Variation http://www.1000genomes.org/ -
Enterprise Social Media Management Software: a Marketer's Guide
MARTECH INTELLIGENCE REPORT: Enterprise Social Media Management Software: A Marketer’s Guide SIXTH EDITION A MarTech Today Research Report MARTECH INTELLIGENCE REPORT: Enterprise Social Media Management Software: A Marketer’s Guide Sixth Edition Table of Contents Scope and methodology .................................................................................................................................................... 2 ESMMS market overview ................................................................................................................................................... 3 Table 1: Social media advertising revenue, 2012-2016 ($ billions) .......................................................................... 3 Table 2: B2B vs. B2C social media spending forecasts ............................................................................................ 3 Table 3: Actual vs. predicted social media spending .............................................................................................. 4 Proving ROI remains a key challenge .............................................................................................................................. 4 Table 4: Proving ROI of social media ....................................................................................................................... 5 M&A activity reflects evolving market ............................................................................................................................. 5 Table 5: Selected ESMMS