Emplois actuels liés à PhD Position F/M Detection of coordinated influence campaigns online - Palaiseau - INRIA
-
Palaiseau, France INRIA Temps pleinPhD Position F/M PhD position in Quantum Information Theory Le descriptif de l’offre ci-dessous est en Anglais Type de contrat : CDD Niveau de diplôme exigé : Bac + 5 ou équivalent Fonction : Doctorant A propos du centre ou de la direction fonctionnelle The Inria Saclay-Île-de-France Research Centre was established in...
-
PhD Position in AI Model Audit
il y a 3 jours
Palaiseau, Île-de-France INRIA Temps pleinJob DescriptionContext and ChallengesThe increasing use of complex AI systems across various sectors has led to a growing demand for auditing and validation of these systems. However, there is a mismatch between the probabilistic nature of modern AI and the desired safety warrants, which are often expressed as certainties. This PhD position aims to address...
-
PhD Position in AI Model Audit
il y a 2 jours
Palaiseau, Île-de-France INRIA Temps pleinJob DescriptionContext and ChallengesThe increasing use of complex AI systems across various sectors has led to a growing demand for auditing and validation of these systems. However, there is a mismatch between the probabilistic nature of modern AI and the desired safety guarantees. This PhD position aims to address this challenge by providing mathematical...
-
Palaiseau, Île-de-France CEA Temps pleinJob Title:PhD Position in AI-Assisted Generation of High-Level Models and Simulators for Hardware DesignJob Description:The CEA is seeking a highly motivated PhD student to work on a research project focused on the development of AI-assisted generation of high-level models and simulators for hardware design. The successful candidate will have the opportunity...
-
Palaiseau, Île-de-France INRIA Temps pleinJob DescriptionJob Title: PhD Position in Efficient Space and Garbage Collection for Functional Languages and Lambda CalculiJob Type: PhD PositionLocation: INRIA Saclay-Île-de-France Research CentreAbout the CentreThe INRIA Saclay-Île-de-France Research Centre is a leading research institution in the field of computer science and mathematics. Our centre...
-
Object Detection By Parametrization Using
il y a 2 jours
Palaiseau, France CEA Temps pleinPosition description **Category**: - Mathematics, information, scientific, software **Contract**: - Internship **Job title**: - Object detection by parametrization using elementary 3D shapes H/F **Subject**: - Developing an object detector in images that can be parametrized with a 3D prompt made of an orchestration of elementary shapes. This detector...
-
Palaiseau, Île-de-France INRIA Temps pleinContext and ObjectivesThe increasing use of complex AI systems across various sectors has led to a growing demand for auditing and validation. However, the probabilistic nature of modern AI systems poses a challenge in providing certainties at the individual level. This PhD project aims to address this challenge by developing mathematical tools and methods...
-
Palaiseau, Île-de-France INRIA Temps pleinAbout the PositionWe are seeking a highly motivated and talented PhD candidate to join our team at INRIA Saclay, in the Soda research group. The successful candidate will have the opportunity to work on a cutting-edge project focused on developing mathematical tools and methods for auditing complex AI systems.Project OverviewThe goal of this PhD project is...
-
Palaiseau, Île-de-France INRIA Temps pleinExciting PhD Research Opportunity:The INRIA Saclay-Île-de-France Research Centre is seeking a highly skilled individual for a PhD research position focusing on Efficient Space and Garbage Collection for Functional Languages and Lambda Calculi.Contract Type: Fixed-Term ContractRequired Degree: Master's Degree or EquivalentPosition: Doctoral ResearcherKey...
-
Palaiseau, Île-de-France CEA Temps pleinRevolutionize Hardware Design with AI CEA is seeking a highly motivated PhD candidate to join our cutting-edge research team focused on leveraging artificial intelligence (AI) to transform the landscape of hardware design. The Challenge: Streamlining Hardware Development Through Automation Simulation tools are essential for designing and validating digital...
-
Palaiseau, Île-de-France INRIA Temps pleinJob DescriptionPhD Position in Efficient Space and Garbage Collection for Functional Languages and Lambda CalculiInria Saclay-Île-de-France Research Centre is seeking a PhD researcher to work on the efficient space consumption of lambda terms and functional programs. The successful candidate will be part of a team that aims to develop a theoretical study of...
-
Palaiseau, Île-de-France INRIA Temps pleinAbout the PhD PositionThe Inria Saclay-Île-de-France Research Centre is seeking a PhD candidate to work on a project focused on efficient space and garbage collection for functional languages and lambda calculi.Project OverviewThe project aims to develop a theoretical study of the efficient space consumption of lambda terms and functional programs. The goal...
-
PhD Position in Wave Propagation for Hyperbolic Media
il y a 4 jours
Palaiseau, Île-de-France INRIA Temps pleinJob DescriptionINRIA is seeking a highly motivated researcher to work on the mathematical modeling of wave propagation in hyperbolic media. The successful candidate will have a strong background in numerical analysis and solid complex analysis skills.Key ResponsibilitiesDevelop and implement numerical methods for wave propagation in hyperbolic...
-
Palaiseau, France CEA Temps pleinPosition description Category Electronics components and equipments Contract Fixed-term contract Job title PhD Position in AI-Assisted Generation of High-Level Models and Simulators for Hardware Design Socio-professional category Non Cadre Contract duration (months) 36 Job description Simulation tools are...
-
PhD in Quantum Computing
il y a 2 semaines
Palaiseau, Île-de-France INRIA Temps pleinJob Opportunity at INRIAType of Contract: Fixed-Term ContractRequired Degree: Master's Degree or EquivalentJob Function: PhD StudentAbout the Centre or Department:The INRIA Saclay-Île-de-France Research Centre is a leading institution in the field of computer science and applied mathematics. It was established in 2008 and has developed in partnership with...
-
PhD Position F/M AI Model Audit and Validation
il y a 3 semaines
Palaiseau, Île-de-France INRIA Temps pleinJob OpportunityOur company, INRIA, is seeking a highly skilled PhD candidate to join our research team. The successful candidate will work on developing mathematical tools for auditing complex AI systems, focusing on uncertainty quantification and error estimation at the individual level.Main Responsibilities:Conduct in-depth research and study related...
-
PhD Researcher in Brain Function Modeling
il y a 2 jours
Palaiseau, Île-de-France INRIA Temps pleinJob DescriptionContext and OpportunitiesWe are seeking a highly motivated PhD researcher to join our team at INRIA to work on building basic models of brain function using large-scale imaging resources. The successful candidate will contribute to the development of novel methods for brain data analysis and machine learning, with a focus on identifying core...
-
Intrusion Detection Specialist for IoT 5G Networks
il y a 2 semaines
Palaiseau, Île-de-France INRIA Temps pleinAbout the PositionThe position is part of the 5G-mMTC research project, aiming to deploy a 5G cellular network oriented towards massive IoT, compatible with 4G technology. The project focuses on the Smart-Grid, in partnership with EDF, and the connected bike, in partnership with the French Cycling Federation (FFC).Key ResponsibilitiesAs part of the 5G-mMTC...
-
Intrusion Detection Specialist for IoT 5G Networks
il y a 24 heures
Palaiseau, Île-de-France INRIA Temps pleinJob Title: Intrusion Detection in IoT 5G NetworksThis position is part of the 5G-mMTC research project, aiming to deploy a 5G cellular network compatible with 4G technology for massive IoT applications. The project focuses on Smart-Grid and connected bike use cases in partnership with EDF and the French Cycling Federation.Job Description:As part of the...
-
Palaiseau, Île-de-France INRIA Temps pleinProject OverviewThis PhD project is situated at the interface of several applied mathematics domains: study of partial differential equations with stochastic coefficients, inverse problems, and numerical analysis and simulation. The supervisory team brings together expertise in each of the different components and relies on the expertise of Laure Giovangigli...
PhD Position F/M Detection of coordinated influence campaigns online
Il y a 3 mois
Contexte et atouts du poste
The thesis is financed by the newly created agency: Agence ministérielle pour l'intelligence artificielle de défense (AMIAD), and it will be in collaboration with Inria and Ecole Polytechnique.
You can find here more information on AMIAD:
The thesis subject is on detecting coordinated influence campaigns online. A detailed version of the subject can be found here:
Mission confiée
Social media platforms have changed how users consume news and stay updated on current events, with nearly half of U.S. adults now turning to social media, especially Facebook, as their primary news source [12]. This reliance on Facebook for news brings both advantages and concerns. On the one hand, it enables effortless news dissemination, democratizes access to information, and allows users to exchange ideas and opinions with people. On the other hand, many organizations have raised concerns about the platform facilitating exposure to misinformation [1, 6]. One key enabling mechanism is the ease with which anyone can claim to be a news provider and share news-related content without verification. Recent reports showed the emergence of organizations aiming to influence voters during elections by claiming to be local news providers [2].
The goal of this PhD is to detect online coordinated campaigns aiming to influence citizens by masquerading as news providers.
Principales activités
Task 1: Automated detection of self-proclaimed news providers: Fostering a healthy news environment requires constant monitoring and auditing of content shared by both known and less-known self-proclaimed news providers. Unfortunately, having a comprehensive view remains impossible, as Facebook does not disclose the list of self-proclaimed news providers on the platform. In an attempt to audit the (mostly U.S.) news media ecosystem, known journalistic agencies, MediaBiasFactCheck and NewsGuard, have aggregated a list of 4k news media Facebook pages [10, 9]. As they are the only sources, many recent news-related studies have only considered established news providers listed by journalists [4, 13, 7, 8, 11]. However, we do not know to which extent these lists are comprehensive and, hence, to which extent relying studies provide an extensive view of the entire Facebook news ecosystem.
In this proposal, we propose an approach that relies on the assumption that Facebook pages claiming to be (and wanting to look like) news sources typically post news-related content. Therefore, our key idea is to perform a daily crawl that: exploits the GNews API [5] to get a sample of news articles published by established news media in the past 24 hours and extract a set of corresponding keywords; uses CrowdTangle [3], an API provided by Meta, to search for Facebook posts mentioning these keywords in the past 24 hours; and filters only Facebook pages that self-identify as news media. Facebook pages that claim to be news providers usually list on their About page the corresponding news domain. This way, we will be able to have a list of both Facebook pages and domains that claim to be news providers. Our plan is to create the largest dataset Worldwide of self-proclaimed news providers.
Task 2: Clustering of news providers pertaining to the same entity: To be able to detect a coordinated influence campaign, we need to be able to group together all news providers that belong to the same entity. Previous works have exploited IP addresses to link together news domains [2]. However, with the emergence of public hosting infrastructure, this method is no longer effective. Our key idea is that news providers are usually displaying ads on their pages. When setting up the ad technology to be able to show ads, a website owner needs to create a file, called ads.txt, that will list its identifier in different ad networks. Our plan is to collect the ads.txt files of all the websites detected in the previous step and use clustering techniques to link together news websites that share the same identifiers across different ad networks.
Task 3: Identify influence campaigns: After we link together news sources that belong to the same entity, the next step is to distinguish between legitimate clusters (the same mother organization supports news sources in different regions of the country) and coordinated influence campaign clusters. For this, we will analyze the content of the posted articles using the NLP techniques, and we will measure biases in the way current issues are presented. We will also implement NLP techniques to detect the use of propaganda in the presented articles.
References
[1] Michael Barthel, Amy Mitchell, and Jesse Holcomb. Many americans believe fake news is sowing confusion, 2016.
[2] Priyanjana Bengani. Hundreds of ‘pink slime’ local news outlets are distributing algorithmic stories and conser-
vative talking points. Columbia Journalism Review, 2019.
[3] CrowdTangle. A tool from Meta to help follow, analyze, and report on what?s happening across social media,
2023.
[4] Laura Edelson, Minh-Kha Nguyen, Ian Goldstein, Oana Goga, Damon McCoy, and Tobias Lauinger. Under- standing engagement with u.s. (mis)information news sources on facebook. 2021.
[5] GNews. A Python Package that searches Google News RSS Feed and returns a usable JSON response, 2023.
[6] Ted Van Green. Few americans are confident in tech companies to prevent misuse of their platforms in the 2020 election, 2020.
[7] Andrew M Guess, Brendan Nyhan, and Jason Reifler. Exposure to untrustworthy websites in the 2016 us election. Nature human behaviour, 2020.
[8] Ro’ee Levy. Social media, news consumption, and polarization: Evidence from a field experiment. American Economic Review, 2021.
[9] Media Bias Fact Check, 2023.
[10] News Guard, 2023.
[11] Michael Scharkow, Frank Mangold, Sebastian Stier, and Johannes Breuer. How social network sites and other online intermediaries increase exposure to news. Proceedings of the National Academy of Sciences, 2020.
[12] Mason Walker and Katerina Eva Matsa. News consumption across social media in 2021, 2022.
[13] Galen Weld, Maria Glenski, and Tim Althoff. Political bias and factualness in news sharing across more than 100,000 online communities. 2021.
Compétences
Technical skills and level required :
Strong programming skills.
Expertise in data analysis.
Avantages
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Rémunération
Monthly gross salary : 2 082 euros
