Thinktwenty20 Winter 2020 the Magazine for Financial Professionals
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Social Sentiment Indices Powered by X-Scores
Social Sentiment Indices powered by X-Scores Brian Davis∗, Keith Cortisy, Laurentiu Vasiliuz, Adamantios Koumpisy, Ross McDermott∗ and Siegfried Handschuhy ∗INSIGHT Centre for Data Analytics, NUI Galway, Ireland Email: [email protected] yUniversitat¨ Passau, Passau, Germany Email: [email protected] zPeracton, Dublin, Ireland Email: [email protected] Abstract—Social Sentiment Indices powered by X-Scores (SSIX) can be incorporated into current operating models as additional seeks to address the challenge of extracting relevant and valuable attributes for executing investment decision-making, with a economic signals in a cross-lingual fashion from the vast variety goal to increase alpha and manage risk for a portfolio. of and increasingly influential social media services; such as Twitter, Google+, Facebook, StockTwits and LinkedIn, and in The European research project Social Sentiment Indices 2 conjunction with the most reliable and authoritative newswires, powered by X-Scores (SSIX) , seeks to assist in this chal- online newspapers, financial news networks, trade publications lenge of incorporating relevant and valuable social media and blogs. A statistical framework of qualitative and quantitative sentiment data into investment decision making by enabling parameters called X-Scores will power SSIX. This framework X-Scores metrics and SSIX indices to act as valid indicators will interpret economically significant sentiment signals that that will help produce increased growth for European Small are disseminated in the social ecosystem. Using X-Scores, SSIX and Medium-sized Enterprises (SMEs). SSIX will extract will create commercially viable and exploitable social sentiment meaningful financial signals in a cross-lingual fashion from a indices, regardless of language, locale and data format. -
Social Sentiment Indices Powered by X-Scores
ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016) Social Sentiment Indices Powered by X-Scores Brian Davis∗, Keith Cortisy, Laurentiu Vasiliuz, Adamantios Koumpisy, Ross McDermott∗ and Siegfried Handschuhy ∗INSIGHT Centre for Data Analytics, NUI Galway, Ireland Email: [email protected] yUniversitat¨ Passau, Passau, Germany Email: [email protected] zPeracton, Dublin, Ireland Email: [email protected] Abstract—Social Sentiment Indices powered by X-Scores (SSIX) assist in this challenge of incorporating relevant and valuable seeks to address the challenge of extracting relevant and valuable social media sentiment data into investment decision making financial signals in a cross-lingual fashion from the vast variety by enabling X-Scores metrics and SSIX indices to act as of and increasingly influential social media services, such as valid indicators that will help produce increased growth for Twitter, Google+, Facebook, StockTwits and LinkedIn, and in European Small and Medium-sized Enterprises (SMEs). X- conjunction with the most reliable and authoritative newswires, Scores provide actionable analytics in the shape of unique online newspapers, financial news networks, trade publications and blogs. A statistical framework of qualitative and quantitative metrics calculated out of the Natural Language Processing parameters called X-Scores will power SSIX. This framework (NLP) output. SSIX will extract meaningful financial signals will interpret financially significant sentiment signals that are in a cross-lingual fashion from a multitude of social net- disseminated in the social ecosystem. Using X-Scores, SSIX work sources, such as Twitter, Google+, Facebook, StockTwits will create commercially viable and exploitable social sentiment and LinkedIn, and also authoritative news sources, such as indices, regardless of language, locale and data format. -
How Science Fiction Grapples with the Growing Power of Artificial Intelligence
DePaul University Via Sapientiae College of Liberal Arts & Social Sciences Theses and Dissertations College of Liberal Arts and Social Sciences 3-2016 Artificial perspectives: how science fiction grapples with the growing power of artificial intelligence Marcus Emanuel DePaul University, [email protected] Follow this and additional works at: https://via.library.depaul.edu/etd Recommended Citation Emanuel, Marcus, "Artificial perspectives: how science fiction grapples with the growing power of artificial intelligence" (2016). College of Liberal Arts & Social Sciences Theses and Dissertations. 207. https://via.library.depaul.edu/etd/207 This Thesis is brought to you for free and open access by the College of Liberal Arts and Social Sciences at Via Sapientiae. It has been accepted for inclusion in College of Liberal Arts & Social Sciences Theses and Dissertations by an authorized administrator of Via Sapientiae. For more information, please contact [email protected]. Artificial Perspectives: How Science Fiction Grapples with the Growing Power of Artificial Intelligence A Thesis Presented in Partial Fulfillment of the Requirements for the Degree of Master of Arts March, 2016 By Marcus Emanuel Department of English College of Liberal Arts and Social Sciences DePaul University Chicago, Illinois 1 Introduction In Stanley Kubrick’s 1968 film 2001: A Space Odyssey, based on the stories of Arthur C. Clarke, astronaut David Bowman, aboard the spacecraft Discovery One, struggles to shut down HAL, an artificial intelligence responsible for operating the ship. The HAL computer system has been killing astronauts one by one in an attempt to preserve its functioning and programmed mission. Bowman, in an orange spacesuit, floats into what we assume is HAL’s mainframe, armed with a variation on a ratchet key, in an attempt to power down the computer and its deadly intelligence. -
F.3. the NEW POLITICS of ARTIFICIAL INTELLIGENCE [Preliminary Notes]
F.3. THE NEW POLITICS OF ARTIFICIAL INTELLIGENCE [preliminary notes] MAIN MEMO pp 3-14 I. Introduction II. The Infrastructure: 13 key AI organizations III. Timeline: 2005-present IV. Key Leadership V. Open Letters VI. Media Coverage VII. Interests and Strategies VIII. Books and Other Media IX. Public Opinion X. Funders and Funding of AI Advocacy XI. The AI Advocacy Movement and the Techno-Eugenics Movement XII. The Socio-Cultural-Psychological Dimension XIII. Push-Back on the Feasibility of AI+ Superintelligence XIV. Provisional Concluding Comments ATTACHMENTS pp 15-78 ADDENDA pp 79-85 APPENDICES [not included in this pdf] ENDNOTES pp 86-88 REFERENCES pp 89-92 Richard Hayes July 2018 DRAFT: NOT FOR CIRCULATION OR CITATION F.3-1 ATTACHMENTS A. Definitions, usage, brief history and comments. B. Capsule information on the 13 key AI organizations. C. Concerns raised by key sets of the 13 AI organizations. D. Current development of AI by the mainstream tech industry E. Op-Ed: Transcending Complacency on Superintelligent Machines - 19 Apr 2014. F. Agenda for the invitational “Beneficial AI” conference - San Juan, Puerto Rico, Jan 2-5, 2015. G. An Open Letter on Maximizing the Societal Benefits of AI – 11 Jan 2015. H. Partnership on Artificial Intelligence to Benefit People and Society (PAI) – roster of partners. I. Influential mainstream policy-oriented initiatives on AI: Stanford (2016); White House (2016); AI NOW (2017). J. Agenda for the “Beneficial AI 2017” conference, Asilomar, CA, Jan 2-8, 2017. K. Participants at the 2015 and 2017 AI strategy conferences in Puerto Rico and Asilomar. L. Notes on participants at the Asilomar “Beneficial AI 2017” meeting. -
SSIX Big Data Technologies and Methods for Leveraging Social Sentiment Data in Multiple Business Domains
February 2017 SSIX Big Data Technologies and Methods for Leveraging Social Sentiment Data in Multiple Business Domains Keith Cortis a, Waqas Khawaja b, Ross McDermott b, Laurentiu Vasiliu c, Adamantios Koumpis a, Siegfried Handschuh a and Brian Davis b a Universitat¨ Passau, Passau, Germany b INSIGHT Centre for Data Analytics, NUI Galway, Ireland c Peracton, Dublin, Ireland Abstract. Social Sentiment Indices powered by X-Scores (SSIX) aims to provide European SMEs with a collection of easy to interpret tools to analyse and under- stand social media users’ attitudes for any given topic. These sentiment character- istics can be exploited to help SMEs operate more efficiently resulting in increased revenues. Social media data represents a combined measure of thoughts and views touching every area of life. SSIX will search and index conversations taking place on social network services, such as Twitter, StockTwits and Facebook, together with the most reliable and trustworthy news agencies, newspapers, blogs and in- dustry publications. A statistical framework of qualitative and quantitative param- eters called X-Scores will power SSIX. Classification and scoring of content will be done using this framework, regardless of language, locale or data architecture. The X-Scores framework will interpret economically significant sentiment signals in social media conversations producing sentiment metrics, such as momentum, breadth, topic frequency, volatility and historical comparison. These metrics will create commercially viable social sentiment indexes, which can be tailored to any domain of interest. By enabling European SMEs to analyse and leverage social sen- timent in their discipline, SSIX will facilitate the creation of innovative products and services by enhancing the investment decision making process, thus assisting in generating increased revenue while also minimising risk exposure. -
Robots, Extinction, and Salvation: on Altruism in Human–Posthuman Interactions
religions Article Robots, Extinction, and Salvation: On Altruism in Human–Posthuman Interactions Juraj Odorˇcák * and Pavlína Bakošová Centre for Bioethics UCM, Department of Philosophy and Applied Philosophy, University of Sts. Cyril and Methodius in Trnava, 917 01 Trnava, Slovakia; [email protected] * Correspondence: [email protected] Abstract: Posthumanism and transhumanism are philosophies that envision possible relations between humans and posthumans. Critical versions of posthumanism and transhumanism examine the idea of potential threats involved in human–posthuman interactions (i.e., species extinction, species domination, AI takeover) and propose precautionary measures against these threats by elaborating protocols for the prosocial use of technology. Critics of these philosophies usually argue Citation: Odorˇcák, Juraj, and Pavlína against the reality of the threats or dispute the feasibility of the proposed measures. We take this Bakošová. 2021. Robots, Extinction, and Salvation: On Altruism in debate back to its modern roots. The play that gave the world the term “robot” (R.U.R.: Rossum’s Human–Posthuman Interactions. Universal Robots) is nowadays remembered mostly as a particular instance of an absurd apocalyptic Religions 12: 275. https://doi.org/ vision about the doom of the human species through technology. However, we demonstrate that Karel 10.3390/rel12040275 Capekˇ assumed that a negative interpretation of human–posthuman interactions emerges mainly from the human inability to think clearly about extinction, spirituality, and technology. We propose Academic Editor: Takeshi Kimura that the conflictual interpretation of human–posthuman interactions can be overcome by embracing Capek’sˇ religiously and philosophically-inspired theory of altruism remediated by technology. We Received: 1 April 2021 argue that this reinterpretation of altruism may strengthen the case for a more positive outlook on Accepted: 12 April 2021 human–posthuman interactions. -
Fondamentaux & Domaines
Septembre 2020 Marie Lechner & Yves Citton Angles morts du numérique ubiquitaire Sélection de lectures, volume 2 Fondamentaux & Domaines Sommaire Fondamentaux Mike Ananny, Toward an Ethics of Algorithms: Convening, Observation, Probability, and Timeliness, Science, Technology, & Human Values, 2015, p. 1-25 . 1 Chris Anderson, The End of Theory: The Data Deluge Makes the Scientific Method Obsolete, Wired, June 23, 2008 . 26 Mark Andrejevic, The Droning of Experience, FibreCultureJournal, FCJ-187, n° 25, 2015 . 29 Franco ‘Bifo’ Berardi, Concatenation, Conjunction, and Connection, Introduction à AND. A Phenomenology of the End, New York, Semiotexte, 2015 . 45 Tega Brain, The Environment is not a system, Aprja, 2019, http://www.aprja.net /the-environment-is-not-a-system/ . 70 Lisa Gitelman and Virginia Jackson, Introduction to Raw Data is an Oxymoron, MIT Press, 2013 . 81 Orit Halpern, Robert Mitchell, And Bernard & Dionysius Geoghegan, The Smartness Mandate: Notes toward a Critique, Grey Room, n° 68, 2017, pp. 106–129 . 98 Safiya Umoja Noble, The Power of Algorithms, Introduction to Algorithms of Oppression. How Search Engines Reinforce Racism, NYU Press, 2018 . 123 Mimi Onuoha, Notes on Algorithmic Violence, February 2018 github.com/MimiOnuoha/On-Algorithmic-Violence . 139 Matteo Pasquinelli, Anomaly Detection: The Mathematization of the Abnormal in the Metadata Society, 2015, matteopasquinelli.com/anomaly-detection . 142 Iyad Rahwan et al., Machine behavior, Nature, n° 568, 25 April 2019, p. 477 sq. 152 Domaines Ingrid Burrington, The Location of Justice: Systems. Policing Is an Information Business, Urban Omnibus, Jun 20, 2018 . 162 Kate Crawford, Regulate facial-recognition technology, Nature, n° 572, 29 August 2019, p. 565 . 185 Sidney Fussell, How an Attempt at Correcting Bias in Tech Goes Wrong, The Atlantic, Oct 9, 2019 . -
1 Why Pay Attention to Stock Message Boards? 2 a Variety of Stock
Notes 1 Why Pay Attention to Stock Message Boards? 1. The term quality of life (QOL) references the general well-being of individu- als and societies. 2. www.stocktwits.com 3. http://www.empathica.com/retail2012 4. http://www.accenture.com/us-en/Pages/insight-shopper-preferences.aspx 5. For stocks priced under $1, add 0.5 percent of the principal value to the $7 commission. 6. http://www.sec.gov/News/PressRelease/Detail/PressRelease/1365171513574. Regulation Fair Disclosure is a regulation that was promulgated by the SEC in August 2000. The rule mandates that all publicly traded companies must disclose material information to all investors at the same time. 7. http://www.sec.gov/news/press/2000-135.txt 8. http://www.ftc.gov/opa/2007/06/wholefoods.shtm 9. Penny stocks are usually unlisted, highly speculative, and usually selling for a dollar or less. 10. Asset liquidity refers to how quickly an asset can be converted into cash without a significant loss in value. 11. For the definition of short selling, please visit http://www.sec.gov/answers/ shortsale.htm. Not all the stocks can be shorted. In order to sell the stock short, you must have margin privileges on your brokerage account. Your broker must have available shares to lend to you. You cannot sell short a stock which is under $5. At any time, you must maintain enough capital in your account to place a buy to cover order on your short position to return shares you borrowed to your broker. 2 A Variety of Stock Message Boards 1. -
PDF Download Digital Vs Human : How Well Live, Love, and Think In
DIGITAL VS HUMAN : HOW WELL LIVE, LOVE, AND THINK IN THE FUTURE PDF, EPUB, EBOOK Richard Watson | 288 pages | 09 Jun 2016 | Scribe Publications | 9781925228427 | English | Carlton North, Australia Digital vs Human : how well live, love, and think in the future PDF Book What changes do you expect to see in the apps and features that will ride on the internet? It is a subsidiary of The Pew Charitable Trusts. In , in fact, scientists at the Chinese Academy of Sciences found that the brain chemicals of people who habitually used the Internet and were perhaps addicted to it had abnormal connections between the nerve fibers in their brain. And for more cars that nobody wants, here are the 30 Worst Cars of the Last 30 Years. Everything in our lives was designed by someone. A couple of years ago, I cofounded a knowledge-sharing platform called Givitas , to make it easy for people to seek and give help in five minutes a day or less. The optimists responding to the better-worse-no change question expressed hope that in the next 50 years digital advances will lead to longer lifespans, greater leisure, more equitable distributions of wealth and power and other possibilities to enhance human well-being. We will not ignore, tolerate or excuse behaviour that breaches our values. And if we begin solving the problems we have with technology today, it will help address the problems of the future. And this ambiguity and complexity is what is the essence of being human. The givers really see this as a situation where they need to step up. -
Aggregate Attention∗
Aggregate attention Paul J. Irvine Neeley School of Business Texas Christian University June, 2021 Abstract We study some of the aggregate properties of investor attention to the stock mar- ket. We introduce a framework that constructs a null hypothesis of what rational aggregate attention should look like. This framework states that aggregate attention should be proportional to the aggregate wealth invested in each stock. We find that the distribution of attention at first appears rational. However, much of this attention is directed away from the high market cap names that should attract the most attention. Attention is notably more volatile from month to month than market cap, making attention unpredictable from a market maker perspective This pattern generates pric- ing errors that result in the most popular stocks performing poorly in the upcoming month. This poor performance appears to be a short-term reversal of pricing errors generated by the unpredictable liquidity demands volatile attention can generate. All errors are our own. Preliminary and incomplete. Thanks to David Rakowski, Joey Engelberg, Siyi Shen, and seminar participants at the University of South Carolina. Corresponding author: [email protected]. Aggregate Attention Abstract We study some of the aggregate properties of investor attention to the stock market. We introduce a framework that constructs a null hypothesis of what rational aggregate attention should look like. This framework states that aggregate attention should be proportional to the aggregate wealth invested in each stock. We find that the distribution of attention at first appears rational. However, much of this attention is directed away from the high market cap names that should attract the most attention. -
Roland Berger Trend Compendium 2050 Focuses on Stable Long Term Developments …
Trend Compendium 2050 Six megatrends that will shape the world December 2020 #PitchTeam (bespoke design, non-transferrable to other documents, cloud fonts in use) TC 2050_Compact version_v05.pptx 2 The Roland Berger Trend Compendium 2050 focuses on stable long term developments … > The Roland Berger Trend Compendium 2050 is a global trend study compiled by Roland Berger Institute (RBI), the think tank of Roland Berger. Our Trend Compendium 2050 describes the most important megatrends shaping the world between now and 2050 > Our trend views are based on expert sources and assessments. Estimates reflect the normal case, i.e. a stable development of the global economy > To incorporate today's uncertainties into strategic planning, we recommend combining the megatrends of the Roland Berger Trend Compendium 2050 with the Roland Berger scenario planning approach Is it worth dealing with megatrends when there are such drastic global events as the Corona pandemic taking place? Clearly yes! The Corona pandemic has far-reaching consequences and affects us deeply, all within a very short time – but in itself the pandemic does not set aside the megatrends here analyzed. Such is the inherent nature of megatrends: Climate change, the aging of society or the ongoing evolution of technology do not lose their overriding direction or importance. To cope with such challenges – and to master resulting opportunities – our awareness and understanding of these megatrends is paramount in order to develop sustainable answers 2 2 #PitchTeam (bespoke design, non-transferrable -
Artificial Intelligence and the Future of Humans
FOR RELEASE DECEMBER 10, 2018 Artificial Intelligence and the Future of Humans Experts say the rise of artificial intelligence will make most people better off over the next decade, but many have concerns about how advances in AI will affect what it means to be human, to be productive and to exercise free will By Janna Anderson, Lee Rainie and Alex Luchsinger FOR MEDIA OR OTHER INQUIRIES: Janna Anderson, Director, Imagining the Internet Center Lee Rainie, Director, Internet and Technology Research Shawnee Cohn, Communications Manager 202.419.4372 www.pewresearch.org RECOMMENDED CITATION Pew Research Center, December, 2018, “Artificial Intelligence and the Future of Humans” 1 PEW RESEARCH CENTER About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping America and the world. It does not take policy positions. It conducts public opinion polling, demographic research, content analysis and other data-driven social science research. The Center studies U.S. politics and policy; journalism and media; internet, science and technology; religion and public life; Hispanic trends; global attitudes and trends; and U.S. social and demographic trends. All of the center’s reports are available at www.pewresearch.org. Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. For this project, Pew Research Center worked with Elon University’s Imagining the Internet Center, which helped conceive the research and collect and analyze the data. © Pew Research Center 2018 www.pewresearch.org 2 PEW RESEARCH CENTER Artificial Intelligence and the Future of Humans Experts say the rise of artificial intelligence will make most people better off over the next decade, but many have concerns about how advances in AI will affect what it means to be human, to be productive and to exercise free will Digital life is augmenting human capacities and disrupting eons-old human activities.