Publications with Maria Liakata

[see all]

    In press

  1. Dimitris Gkoumas, Bo Wang, Adam Tsakalidis, Maria Wolters, Matthew Purver, Arkaitz Zubiaga, Maria Liakata.
    A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis [+]
    Language Resources and Evaluation. In press.
  2. 2024

  3. Rabab Alkhalifa, Hsuvas Borkakoty, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Tobias Fink, David Iommi, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Maria Liakata, Xiaomo Liu, Harish Tayyar Madabushi, Pablo Medina-Alias, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga.
    LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024 [pdf] [+]
    ECIR. 2024.
  4. 2023

  5. Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga.
    Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance [pdf] [+]
    LongEval. 2023.
  6. Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga.
    Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance [pdf] [+]
    CLEF. 2023.
  7. Talia Tseriotou, Dina Pisarevskaya, Elena Kochkina, Marya Bazzi, Maria Liakata, Arkaitz Zubiaga.
    Mediate 2023: News Media and Computational Journalism Workshop [pdf] [+]
    ICWSM. 2023.
  8. Rob Procter, Miguel Arana-Catania, Yulan He, Maria Liakata, Arkaitz Zubiaga, Elena Kochkina, Runcong Zhao.
    Some Observations on fact-checking Work with Implications for Computational Support [pdf] [+]
    Mediate. 2023.
  9. Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He.
    PANACEA: An Automated Misinformation Detection System on COVID-19 [pdf] [+]
    EACL. 2023.
  10. Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga.
    LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023 [pdf] [+]
    ECIR. 2023.
  11. Elena Kochkina, Tamanna Hossain, Robert L. Logan IV, Miguel Arana-Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata.
    Evaluating the Generalisability of Neural Rumour Verification Models [pdf] [+]
    Information Processing and Management. 2023.
  12. 2022

  13. Miguel Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He.
    Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims [pdf] [+]
    NAACL. 2022.
  14. 2021

  15. Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata.
    Citizen Participation and Machine Learning for a Better Democracy [pdf] [+]
    ACM DGOV. 2021.
  16. 2020

  17. Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga, Maria Liakata.
    QMUL-SDS at DIACR-ITA 2020: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian [pdf] [+]
    CLiC-it. .
  18. Elena Kochkina, Maria Liakata, Arkaitz Zubiaga.
    The Synergy between Stance Classification and Rumour Verification [+]
    TTO. 2020.
  19. Shital Lathiya, J S Dhobi, Arkaitz Zubiaga, Maria Liakata, Rob Procter.
    Birds of a Feather Check Together: Leveraging Homophily for Sequential Rumour Detection [pdf] [+]
    Online Social Networks and Media. 2020.
  20. Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata.
    QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions [pdf] [+]
    CLEF. 2020.
  21. Elena Kochkina, Maria Liakata, Arkaitz Zubiaga.
    Stance Classification for Rumour Verification in Social Media Conversations [pdf] [+]
    MEDIATE. 2020.
  22. 2019

  23. Arkaitz Zubiaga, Bo Wang, Maria Liakata, Rob Procter.
    Political Homophily in Independence Movements: Analysing and Classifying Social Media Users by National Identity [pdf] [+]
    IEEE Intelligent Systems. 2019.
  24. Genevieve Gorrell, Elena Kochkina, Maria Liakata, Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Leon Derczynski.
    RumourEval 2019: Determining Rumour Veracity and Support for Rumours [pdf] [+]
    SemEval. 2019.
  25. Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter.
    Gaussian Processes for Rumour Stance Classification in Social Media [pdf] [+]
    ACM Transactions on Information Systems. 2019.
  26. 2018

  27. Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Maria Liakata, Rob Procter.
    2nd International Workshop on Rumours and Deception in Social Media: Preface [pdf] [+]
    RDSM. 2018.
  28. Elena Kochkina, Maria Liakata, Arkaitz Zubiaga.
    All-in-one: Multi-task Learning for Rumour Verification [pdf] [+]
    COLING. 2018.
  29. Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter.
    Detection and Resolution of Rumours in Social Media: A Survey [pdf] [+]
    ACM Computing Surveys. 2018.
  30. Peter Tolmie, Rob Procter, Mark Rouncefield, Maria Liakata, Arkaitz Zubiaga.
    Microblog Analysis as a Programme of Work [pdf] [+]
    ACM Transactions on Social Computing. 2018.
  31. Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein.
    Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers [pdf] [+]
    Information Processing and Management. 2018.
  32. 2017

  33. Bo Wang, Maria Liakata, Adam Tsakalidis, Spiros Georgakopoulos Kolaitis, Symeon Papadopoulos, Lazaros Apostolidis, Arkaitz Zubiaga, Rob Procter, Yiannis Kompatsiaris.
    TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter [pdf] [+]
    IJCNLP. 2017.
  34. Arkaitz Zubiaga, Alex Voss, Rob Procter, Maria Liakata, Bo Wang, Adam Tsakalidis.
    Towards Real-Time, Country-Level Location Classification of Worldwide Tweets [pdf] [+]
    IEEE TKDE. 2017. [IF 2016: 3.438]
  35. Arkaitz Zubiaga, Maria Liakata, Rob Procter.
    Exploiting Context for Rumour Detection in Social Media [pdf] [+]
    SocInfo. 2017.
  36. Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter.
    A Hierarchical Topic Modelling Approach for Tweet Clustering [pdf] [+]
    SocInfo. 2017.
  37. Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Anna Kolliakou, Rob Procter, Maria Liakata.
    Stance Classification in Out-of-Domain Rumours: A Case Study around Mental Health Disorders [pdf] [+]
    SocInfo. 2017.
  38. Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, Arkaitz Zubiaga.
    SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours [pdf] [+]
    SemEval. 2017.
  39. Peter Tolmie, Rob Procter, Dave Randall, Mark Rouncefield, Christian Burger, Geraldine Wong Sak Hoi, Arkaitz Zubiaga, Maria Liakata.
    Supporting the use of user generated content in journalistic practice [pdf] [+]
    CHI. 2017.
  40. Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter.
    TDParse: Multi-target-specific Sentiment Recognition on Twitter [pdf] [+]
    EACL. 2017.
  41. 2016

  42. Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik.
    Stance classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations [pdf] [+]
    COLING. 2016.
  43. Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter, Eric Jensen.
    SMILE: Twitter Emotion Classification using Domain Adaptation [pdf] [+]
    Workshop on Sentiment Analysis where AI meets Psychology. 2016.
  44. Arkaitz Zubiaga, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, Peter Tolmie.
    Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads [pdf] [+]
    PLOS ONE. 2016. [IF 2014: 3.234]
  45. Leon Derczynski, Michal Lukasik, Ahmet Aker, Kalina Bontcheva, Thierry Declerck, Piroska Lendvai, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Tomás Pariente Lobo, Mateusz Radzimski.
    PHEME D6.2.2: Evaluation Report - Final Results [pdf] [+]
    PHEME FP7 deliverable. 2016.
  46. 2015

  47. Richard Townsend, Adam Tsakalidis, Yiwei Zhou, Bo Wang, Maria Liakata, Arkaitz Zubiaga, Alexandra Cristea, Rob Procter.
    WarwickDCS: From phrase-based to target-specific sentiment recognition [pdf] [+]
    SemEval. 2015.
  48. Arkaitz Zubiaga, Maria Liakata, Rob Procter, Kalina Bontcheva, Peter Tolmie.
    Crowdsourcing the Annotation of Rumourous Conversations in Social Media [pdf] [+]
    WWW. 2015.
  49. Bo Wang, Arkaitz Zubiaga, Maria Liakata, Rob Procter.
    Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter [pdf] [+]
    WWW Workshop on Making Sense of Microposts. 2015.
  50. Arkaitz Zubiaga, Maria Liakata, Rob Procter, Kalina Bontcheva, Peter Tolmie.
    Towards Detecting Rumours in Social Media [pdf] [+]
    AI4Cities Workshop. 2015.
  51. Arkaitz Zubiaga, Peter Tolmie, Maria Liakata, Rob Procter.
    PHEME D2.4: Qualitative Analysis of Rumours, Sources, and Diffusers Across Media and Languages [pdf] [+]
    PHEME FP7 deliverable. 2015.
  52. 2014

  53. Arkaitz Zubiaga, Peter Tolmie, Maria Liakata, Rob Procter.
    PHEME D2.1: Development of an Annotation Scheme for Social Media Rumours [pdf] [+]
    PHEME FP7 deliverable. 2014.