Co-Inform (Co-Creating Misinformation Resilient Societies)
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This document summarizes a presentation on co-creating resilience to misinformation. It discusses the challenges fact checkers face in keeping up with misinformation spread on social media and the unclear impact of fact checks. The goals of the Co-Inform project are outlined, including understanding misinformation flow, creating detection tools, and making recommendations. The presentation notes several existing misinformation detection tools and plugins. It promotes developing self-awareness through tools assessing an individual's interactions with and spread of misinformation within their own network.
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Targeted disinformation warfare how and why foreign efforts are
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More from The Open University
Misinformation vs Fact-Checks: The Ongoing Battle
Keynote delivered at ACM Hypertext conference on 6th of September 2023.
Abstract: You’re probably getting a bit worn out from all these talks about misinformation and Twitter-based experiments. The fact that Twitter is now called Platform X is probably not enough of a change to keep you awake during my talk! But I think, or hope, to bring up a few things in this talk that you might not have come across or thought about much before. I believe that having fact-checks that call out false or misleading claims is very important in our fight against misinformation. But we’re still not quite sure if and how they impact the spread of wrong information and how they could help set things right online. So, in this talk, I’ll dive into how we’re all prone to falling for misinformation and make a case for needing data and tools to help us see how both ourselves and others engage with false or unreliable information over long periods of time. I’ll also share what we’ve learnt from our research about how these fact-checks affect how wrong info spreads, and I’ll give you the scoop on what happened when we tried using automatic replies to correct misinforming posts on Twitter, oops, I mean platform X. If all of this still feels like old news to you, well, there’s always that email inbox to keep you awake during my keynote.
knod22-Alani.pdf
Keynote at the 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts’22) – April 26, 2022
Talk abstract: Misinformation has always been part of humankind’s information ecosystem. The development of tools and methods for automatically detecting the reliability of information has received a great deal of attention in recent years, such as calculating the authenticity of images, calculating the likelihood of claims, and assessing the credibility of sources. Unfortunately, there is little evidence that the presence of these advanced technologies or the constant effort of fact-checkers worldwide can help stop the spread of misinformation. I will try to convince you that you also hold various false beliefs, and argue for the need for technologies and processes to assess the information shared by ourselves or by others, over a longer period of time, in order to improve our knowledge of our information credibility and vulnerability, as well as those of the people we listen to. Also, I will describe the benefits, challenges, and risks of automated information corrective actions, both for the target recipients and their wider audience.
SASIG Workshop on “Improving the digital landscape for our children”
Reflections on the Online Harms White Paper published in April 2019. https://www.gov.uk/government/consultations/online-harms-white-paper
Presented these slides as part of a panel. Agenda of the workshop: https://gallery.mailchimp.com/6a29a22efa92c19681485a0ee/files/f3d318a3-978e-4977-be85-971ecb97ca13/Child_Safety_Online_Agenda_v33.pdf
COMRADES summary
Presented at the final project review, to highlight the project achievements and impact. https://comrades-project.eu/
COMRADES project introduction
The COMRADES project aims to develop an intelligent platform to empower communities to respond to and recover from crisis situations using social media. Led by Harith Alani at the Open University, the consortium includes Ushahidi, Delft University of Technology, and University of Sheffield. The project will extract requirements, identify emergency events on social media, assess information validity, and deploy the COMRADES platform to support communities during live crises. It will run in two periods over multiple crisis types and aims to produce 30 peer-reviewed publications and 40 scientific outputs to empower local communities through information sharing.
COMRADES ICT2018
"Tech for everyone, by everyone: citizen-centred digital innovation for good" ICT2018, Vienna. https://comrades-project.eu
Crisis Information Processing - with the power of A.I.
The document discusses using artificial intelligence and machine learning techniques to automatically process and classify information from social media during crisis events. It describes research on classifying tweets and social media posts as related or not related to a crisis, identifying the type of crisis, and determining the type of information in the posts. The research compares traditional machine learning classifiers to deep learning models and finds that semantic features and cross-lingual capabilities improve classification. The goal is to develop tools that can help emergency responders more effectively manage information during disasters.
H2020 COMRADES project introduction
The document discusses the COMRADES project, which aims to develop an intelligent platform to help communities reconnect, respond to, and recover from crisis situations using social media. The project is funded by the European Union's Horizon 2020 program and involves several European universities and organizations. It plans to extract requirements for resilience platforms, identify emergency events on social media, assess crisis information validity, and deploy the platform for communities during real disasters.
Radicalisation detection on social media
This document discusses detecting online radicalization through social media. It presents several approaches for identifying signals of radicalization using machine learning techniques, including lexicon-based approaches that analyze language use and knowledge graphs that extract semantic relationships between entities and concepts. The goal is to automatically classify social media accounts as non-violent radical, non-radical, or violent radical in order to more effectively and less biased detect the radicalization process.
Analysing the dark side of Social Media
The document discusses online child grooming and radicalization. It begins by defining child grooming as premeditated behavior intended to secure the trust of a minor for future sexual conduct. It then provides an example conversation between a predator and minor to demonstrate grooming techniques. Next, it discusses approaches for automatically identifying the stages of grooming (approach, trust development, isolation, physical approach) using machine learning classifiers. It achieves up to 88% accuracy. Finally, it discusses detecting online radicalization, including approaches using semantic analysis, knowledge graphs, and classifying social media accounts as radical or non-radical using machine learning.
Detecting online grooming and radicalisation
The document discusses detecting online grooming and radicalization through social media analytics. It provides background on child grooming and statistics on its prevalence from sources like the NSPCC and CEOP. Examples of online grooming conversations are presented, showing how predators use approaches like compliments, requests for photos, developing trust and isolation to groom their victims. Methods for automatically identifying the stages of grooming through classifiers trained on annotated datasets are described, achieving over 80% precision and recall. The document also covers online radicalization, presenting models of radicalization and research on detecting signals of radicalization on social media through machine learning and lexicon-based approaches.
Detecting Grooming Behaviour on Social Media
The document discusses detecting online grooming behavior on social media. It provides definitions of child grooming and online grooming as premeditated behaviors to gain a minor's trust to engage in future sexual conduct. Statistics are presented on the number of UK children who experience sexual abuse. Theories of online grooming behaviors are described, including establishing rapport, isolating the child, and introducing sexual topics. An example conversation shows the gradual process of an online predator engaging in grooming language and attempts to escalate contact over several messages.
Making More Sense Out of Social Data
Keynote at Workshop on Linked Science - Making Sense Out of Data - International Semantic Web Conference 2014.
Mining and Comparing Engagement Dynamics Across Multiple Social Media Platfor...
Understanding what attracts users to engage with social media content is important in domains such as market analytics, advertising, and community management.
To date, many pieces of work have examined engagement dynamics in isolated platforms with little consideration or assessment of how these dynamics might vary between disparate social media systems. Additionally, such explorations have often used different features and notions of engagement, thus rendering the cross-platform comparison of engagement dynamics limited. In this paper we define a common framework of engagement analysis and examine and compare engagement dynamics across five social media platforms: Facebook, Twitter, Boards.ie, Stack Overflow and the SAP Community Network. We define a variety of common features (social and content) to capture the dynamics that correlate with engagement in multiple social media platforms, and present an evaluation pipeline intended to enable cross-platform comparison. Our comparison results demonstrate the varying factors at play in different platforms, while also exposing several similarities.
From smart meters to smart behaviour
Short presentation at Dagstuhl seminar on Physical-Cyber-Social Computing, September 29 to October 4, 2013.
http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=13402
Social Media Analytics with a pinch of semantics
Gave this talk at SSSW'13; The 10th Summer School on Ontology Engineering and the Semantic Web
7 - 13 July, 2013. Cercedilla, Spain. http://sssw.org/2013/
Ifip wg-galway-
Harith Alani is a researcher at the Knowledge Media Institute (KMi) at the Open University. KMi focuses on research and development related to the future internet, knowledge management, multimedia systems, and more. Alani's work involves analyzing behavior and health of online communities through semantic profiling, social network analysis, and machine learning models. He has published over 100 papers on topics such as predicting valuable community members, detecting influential content, and understanding community evolution over time.
Monitoring and Analysis of Online Communities
This document discusses monitoring and analyzing online communities. It begins by outlining tools for monitoring social media mentions, sentiment, discussion activity and more. It then discusses measuring social media usage in companies and tools for analyzing community features like influence, opinions and geolocation. The document explores merging offline and online social networks using sensors and integrating physical presence data with online profiles and semantic analysis. It provides examples of tracking face-to-face contact networks and analyzing characteristics of offline social networks.
SDoW2010 keynote
This document discusses research on analyzing social networks using radio-frequency identification (RFID) devices to track face-to-face interactions between individuals in real-world settings like conferences. It describes deployments of RFID badge systems to log social contacts at various events and outlines approaches for merging offline contact networks with online social networking data to generate semantic profiles of users and communities. Key findings from analyzing face-to-face contact data include characteristics of interaction patterns, correlations between scientific experience and networking behavior, and a lack of strong correlation between offline social activity and size of online social networks.
Semantics, Sensors, and the Social Web
Slides of invited talk presented at ESF-COST conference on Future Internet and Society: A complex Systems Perspective
More from The Open University (20)
SASIG Workshop on “Improving the digital landscape for our children”
SASIG Workshop on “Improving the digital landscape for our children”
Crisis Information Processing - with the power of A.I.
Crisis Information Processing - with the power of A.I.
Mining and Comparing Engagement Dynamics Across Multiple Social Media Platfor...
Mining and Comparing Engagement Dynamics Across Multiple Social Media Platfor...
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Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
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Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
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UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
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Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
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Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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Removing Uninteresting Bytes in Software Fuzzing
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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20240609 QFM020 Irresponsible AI Reading List May 2024
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Co-Inform (Co-Creating Misinformation Resilient Societies)
- 1. 28-March-2019, Belfast Harith Alani Twitter: @halani h.alani@open.ac.uk The Open University Co-Creating Misinformation Resilient Societies “Why does fact checking matter?”, Thursday, 28/3/2019, Belfast
- 3. Bridge fact checkers with people on social platforms • Citizens sharing misinformation on social media are disconnected from relevant fact checks • Unclear which are the best approaches to provide citizens with fact checks • Too much to fact check, in too little time and resources • Unclear how misinformation spreads and evolves, across social and traditional media • Difficult to assess impact of misinformation on people’s opinions towards certain topics • What tools and strategies can increase resilience to misinformation?
- 4. Effectiveness of Factchecking Factcheck wins! Misinforming article Fact-checking Time of fact-check release
- 5. Timing is Critical Story is already dead? Misinforming article Fact-checking Time of fact-check release
- 6. Persistence of Misinformation The story lives on, regardless Misinforming article Fact-checking Time of fact-check release
- 7. Goals of Co-Inform • Collect stakeholders’ requirements with regards to misinformation • Combine technology and social science to create misinformation detection and prediction tools • Understand the flow dynamics of misinformation and how they vary with topics and networks • Assess and evaluate the impact of our tools and intervention strategies, on perception and behaviour • Issue recommendations for policymakers • Follow a Co-creation methodology across all stages of the project
- 8. The Tools Co-Inform Tools • A Browser plugin Provides users with misinformation ratings of social media posts and corrective information collected from several fact-checking sources. • Dashboards for fact-checking journalists and policy-makers Detect, track, and predict the spread and evolution of misinformation on the web. • Tools to raise self-awareness and media literacy Show self-interactions with misinformation, get explanations
- 9. Calculates how likely a given Twitter account to be a bot botometer.iuni.iu.edu/ Misinformation Detection Tools Search by image and find where that image appears online. tineye.com Connects pages based on disagreement. Community driven. rbutr.com Uses journalists to asses websites for credibility newsguardtech.com Determines the trustworthiness of reviews using AI fakespot.com/ Plugin that warns users about unreliable news sources bsdetector.tech Detects and ranks claim, and matches them to fact-checks idir-server2.uta.edu/claimbuster/
- 10. “we can be blind to the obvious and we are also blind to our blindness” Daniel Kahneman, psychologist 2002 Nobel Prize winner in Economics
- 11. • MisinfoMe • How much misinformation have you spread?!
- 12. • Misinformation? • Says who?!
- 13. Self-assessment INFORMATION LITERACY • How misinforming is your network? DETECTIONVALIDATION
- 14. • How you compare with the average?
- 15. @Co_Inform @Coinform @Co_Inform coinform.eu • Harith Alani • Twitter: @halani h.alani@open.ac.uk The Open University