This presentation discusses Ethics considerations for Corpus Linguistics studies using internet resources. The talk was given at the Corpus Linguistics 2015 conference at Lancaster, UK (July 21-24, 2015).
Brief presentation on challenges I've found during my research on/through social media. Part of a larger panel on Digital and Social Media for Research as part of UBC's Year of Research in Education.
ABSTRACT : Computational social science (CSS) is an academic discipline that combines the traditional social sciences with computer science. While social scientists provide research questions, data sources, and acquisition methods, computer scientists contribute mathematical models and computational tools. CSS uses computationally methods and statistical tools to analyze and model social phenomena, social structures, and human social behavior. The purpose of this paper is to provide a brief introduction to computational social science.
Key Words: computational social science, social-computational systems, social simulation models, agent-based models
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
Reimer et al. 2019: Analysing User Comments in Online Journalism: a Systemati...Julius Reimer
"Analysing User Comments in Online Journalism: a Systematic Literature Review", presentation at the International Communication Association's (ICA) 69th Annual Conference on May 28th, 2019 in Washington, D.C. (together with Volodymyr Biryuk, Marlo Haering, Wiebke Loosen, Walid Maalej and Lisa Merten).
한국언론학회 2016년 봄철학술대회의 <테마논문> 세션
이번 학술대회의 테마는 <미래>이며,
이 세션에서는 테마에 관한 초청논문이 발표되고 토론될 예정입니다.
학술대회의 여러 행사 중 가장 중요한 세션이라고 할 수 있지요~^^
4부(15:50~17:30)에 100분간 진행되며, 장소는 이화여대 ECC B225호입니다(날짜: 5월 21일 토).
100분동안 3편의 논문이 발표되며, 각 논문 당 한 분이 토론에 참여하십니다.
Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.
A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB
This presentation discusses Ethics considerations for Corpus Linguistics studies using internet resources. The talk was given at the Corpus Linguistics 2015 conference at Lancaster, UK (July 21-24, 2015).
Brief presentation on challenges I've found during my research on/through social media. Part of a larger panel on Digital and Social Media for Research as part of UBC's Year of Research in Education.
ABSTRACT : Computational social science (CSS) is an academic discipline that combines the traditional social sciences with computer science. While social scientists provide research questions, data sources, and acquisition methods, computer scientists contribute mathematical models and computational tools. CSS uses computationally methods and statistical tools to analyze and model social phenomena, social structures, and human social behavior. The purpose of this paper is to provide a brief introduction to computational social science.
Key Words: computational social science, social-computational systems, social simulation models, agent-based models
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
Reimer et al. 2019: Analysing User Comments in Online Journalism: a Systemati...Julius Reimer
"Analysing User Comments in Online Journalism: a Systematic Literature Review", presentation at the International Communication Association's (ICA) 69th Annual Conference on May 28th, 2019 in Washington, D.C. (together with Volodymyr Biryuk, Marlo Haering, Wiebke Loosen, Walid Maalej and Lisa Merten).
한국언론학회 2016년 봄철학술대회의 <테마논문> 세션
이번 학술대회의 테마는 <미래>이며,
이 세션에서는 테마에 관한 초청논문이 발표되고 토론될 예정입니다.
학술대회의 여러 행사 중 가장 중요한 세션이라고 할 수 있지요~^^
4부(15:50~17:30)에 100분간 진행되며, 장소는 이화여대 ECC B225호입니다(날짜: 5월 21일 토).
100분동안 3편의 논문이 발표되며, 각 논문 당 한 분이 토론에 참여하십니다.
Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.
A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB
Tfsc disc 2014 si proposal (30 june2014)Han Woo PARK
Technological Forecasting and Social Change Special Issue
http://www.journals.elsevier.com/technological-forecasting-and-social-change/
Special issue title
Open (Big) Data as Social Change: Triple Helix Innovation toward Government 3.0
Associated conference
The 2nd Annual Asian Hub Conference on Triple Helix and Network Sciences (DISC 2014) on Data as Social Culture: Networked Innovation and Government 3.0, to be held on December 11-13, 2014, in Daegu and Gyeongbuk (Gyeongju), Rep. of Korea.
Call for Papers: http://www.slideshare.net/hanpark/disc-2014-cfp-v3
The conference is organized by Asia Triple Helix Society (ATHS). Point of contact: Secretary to Prof. Dr. Han Woo Park (info.disc2014@gmail.com), Department of Media & Communication, YeungNam University, 214-1, Dae-dong, Gyeongsan-si, Gyeongsangbuk-do, South Korea, Zip Code 712-749.
Associate Editors: Managing Guest Editors (MGE)
Wayne Weiai Xu, Doctoral Candidate, SUNY-Buffalo, USA, weiaixu@buffalo.edu
Dr. In Ho Cho, YeungNam University, Rep. of Korea, haihabacho@gmail.com
Important Dates
DISC 2014: 11 to 13 December 2014
Full paper submission: 1 March 2015
Review & Revision period: 1 September 2015
Online Publication: 1 December 2015
* We are also open to non-conference submissions to the special issue. However, the priority will be given to papers presented at the DISC 2014 and its associated seminars.
Data Science Popup Austin: The Science of Sharing Domino Data Lab
The advent of online social networks and ready access to massive document collections has provided a rich, large-scale playground for researchers interested in understanding social networks, what people say on them, and identifying interesting segments within large populations. This talk gives an overview of recent research on a number of topics, including measuring bias at scale, the effect of network structure on virality, and inferring networks from information cascades. I'll also discuss how profile analytics and user segmentation enables more effective product campaigns that incorporate tailored content and offers based on the interests and behaviors of individuals within segments.
Mapping Movements: Social movement research and big data: critiques and alter...Tim Highfield
Paper presented by Sky Croeser and Tim Highfield at Compromised Data? colloquium, Toronto, Canada, 29 October 2013. http://www.infoscapelab.ca/news/oct-28-29-colloquium-compromised-data-new-paradigms-social-media-theory-and-methods
[Tim's additional note: This presentation is focused specifically on doing research around social movements and producing findings and contributing new knowledge about how activists use social media and online technologies – there is some very important and detailed quantitative analysis of Twitter discussions around social movements and uprisings which provide critical information about communication online and responses to international events, and my intent is not to discount this work just because it is quant-only – these studies do different things and have different aims, and so the scope of their findings is not the same by extension (I’m not sure that I made this point clearly in the presentation, though).]
Scraping the Social? Issues in real-time social research (Departmental Semina...Sociology@Essex
08 May 2012: Scraping the Social? Issues in real-time social research (Departmental Seminar Series)
Dr. Noortje Marres from Goldsmiths College
http://www.essex.ac.uk/sociology/news_and_seminars/seminarDetail.aspx?e_id=3414
In this session, we talk about the mobile and social web, and how it shapes economy, individual behavior and well-being, political events, and society as a whole.
Researching Social Media – Big Data and Social Media AnalysisFarida Vis
Researching Social Media – Big Data and Social Media Analysis, presentation for the Social Media for Researchers: A Sheffield Universities Social Media Symposium, 23 September 2014
Presented as a Pecha Kucha at Web Science 2013 (Paris), this presentation focuses on a post-modern interpretation of "data" leveraging social theories of Goffman and Foucault.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Studying Cybercrime: Raising Awareness of Objectivity & Bias
1. Studying Cybercrime: Raising
Questions About Objectivity & Bias
Presented by:
Kristine Gloria
The Tetherless World Constellation
Rensselaer Polytechnic Institute, Troy, NY
!
With thanks to co-author John S. Erickson and the extended RPI Tetherless World Team
2. The Process of Web Science
Berners-Lee, T. (2007) W3C Keynote. http://www.w3.org/2007/Talks/0509-www-keynote-tbl/#(10)
Via the workshop call: how can we study the phenomena of cybercrime & cyberwarfare that may offer a different perspective of what other disciplines already offer
• Begin with the cycle - where in the cycle does it make sense to start?
• Moving away from just one side of the cycle
3. How may a Web Scientist explore the topic of cybercrime
and cyberwarfare by offering an integrated study of both
the social and technical aspects of the phenomena?
4. Agenda
!
6
I. Objectivity & Bias
II. Motivation and example
III. Open questions & future
discussion
5. Objectivity & Bias
Porter (1996) traces objectivity as having multiple interpretations
construed to include notions of fairness, mechanical objectivity, and
non-subjectivity. [1]
!
Latour’s (2000) critique goes even further suggesting that “objectivity
does not refer to a special quality of the mind . . . but to the
presence of objects which have been rendered ‘able’ to object to
what is told about them” [2].
The discourse of scientific objectivity and bias has a long debated history in varying definitions in multiple disciplines. Vocal critiques of objectivity and bias in social science has placed it in a contentious position - challenging the need for objectivity and implicit biases
6. So again, I turn back to this cycle. Unique about what Web Scientists may offer is this integrated/multi-disciplinary approach. However, with this integration, is the inheritance of the same critiques of the disciplines that feed/influence the study.
7. Examples of bias
“Passive” data collection methods in digital social science research;
considered by some to be more “objective” - a more “natural” method.
!
“. .. [that] Facebook ‘big’ data is made by users unaware
of or unconcerned about social science researchers
doesn’t change the fact it is made through and around a
structure engineers have coded.”
Jurgenson, N (2014). “Short Comment on Facebook methodology ‘more natural’”. The Society
Pages. website. http://thesocietypages.org/cyborgology/2014/06/09/short-comment-on-facebook-as-
methodologically-more-natural/
Current examples of critiques of even bias in technical execution - algorithms ! & bias; Twitter studies P!articularly apparent on the sociology level; look at work by Kate Crawford, Nathan Jurgenson, danah boyd. Kate Crawford’s example of Tweets generated during Hurricane Sandy - biased as it did not present the whole pictures; the greatest tweets came from Manhattan, while few tweets came from areas like Breezy Point, Coney Island and Rockaway - “signal problem”: data are assumed to accurately reflect the social
world, but there are significant gaps, with little or no signal coming from particular communities < http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/> !I!n reaction to Facebook’s sociology pre-conference ahead of the American Sociological Association; wherein the claim is that research on such a platform is more “natural” - Methodological Issues:
1) Inadequate attention to implicit and explicit structural biases of the platform(s); most frequently used to generate datasets -
8. Examples of bias
Twitter as the “model organism” for multiple research communities
[1]
• Due to: data availability, tools availability, simple & clean data
structure
• Biased and influenced !
by message length, rapid turnover, public
nature, directed graph interaction
• self-selection bias, signal problems, etc.
Twitter used as a means for population-level research versus selected
individuals [2]
[1] Tufekci, Z. (2013). Big Data: Pitfalls, Methods and Concepts for an Emergent Field. SSRN
(March 2013). http://bit.ly/1jsN0u5!
[2] Rivers, C. M., & Lewis, B. L. (2014). Ethical research standards in a world of big data.
F1000Research, 3. http://bit.ly/1i2eyLV
Noted by Zeynep Tufecki (Princeton) - !-
Twitter has emerged as a “model organism” (one selected for intensive examination by the research community) - due to data availability, tools availability / popularity etc; simple and clean data structure
- However, not all model organisms are representative of their taxa
- Influenced by message length, rapid turnover, public nature, and a directed graph of social network interaction (where one can follow without consent).
- Hashtag usage; is a self-selection bias & multiple embedded layers of culture and meaning that are assumed !-
Under non-digital circumstances, IRB/ethical guidelines suggest that collection information from a public space where people could “reasonably expect to be observed by strangers” is considered appropriate even without informed consent. —- it could be reasoned then that Tweets are texts published for the
purpose of sharing with others/public (question: Should one still have a reasonable expectation of privacy?)
! - It would be unethical for a researcher to follow one specific shopper around the mall and gather data exclusively without his/her consent; however if the observation is done in aggregate - then it is acceptable; what is this boundary for online?
9. Rally Research Example
Fieldwork: November 2013 in Washington D.C.
Exploratory observational study on rally/protest behavior during last year’s StopWatching.US rally. !-
i!ndividual behavior and motivation; identification of authority, power and governance structures; and consideration of technology’s involvement as a propagator and facilitator of information flow. “ - Cybercrime” in this instance was defined not as an action of a nation-state unto another nation-state, but rather a single agent’s action onto a nation-state, a definition motivated by the U.S. government’s same use of the term in identifying Edward Snowden’s act as a cybercrime.
10. Reflexivity
Practice of reflexivity
Explicit Bias
Explicit biases such as the
construction of the initial interview
questions were first examined.
These questions focused on
gathering information related to
individual motivation, modes of
information propagation, levels
topic comprehension, etc
Implicit Bias
Implicit biases such as
organizational affixation; self-selection
bias.
!
For this example, the researcher
was affiliated with one of the rally
organizing groups and had
access to non-public information.
O!ne practice: Explicit Bias !Implicit Bias !H
ow to capture/incorporate/express these biases for later research?
11. Open Questions/Discussion
What ethical standards will the WS community adopt
when exploring online platforms for insight into human
behavior?
How do we identify and negotiate the intersections
between more descriptive, context-dependent (qualitative
data) with the stand-alone graph analysis or quantitative
data?
How can we identify, express, capture and share both
implicit and explicit biases in our research?
Proponent of mixed-methods
Paper was meant to provoke some additional thought; questions that arise include: