Here we list publications and conference papers connected to the PreferenceMatcher research activities, as well publications and conference papers by third party researchers which employ PreferenceMatcher data.
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2022
Bruinsma, B. (2022) Voting Advice Applications, in: Ceron, A. (Ed.) Elgar Encyclopedia of Technology and Politics. Cheltenham, Edgar Elgar, 176-179.
Buryakov, D., Hino, A., Kovacs, M., Serdült, U. (2022) Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications, in: 2022 9th International Conference on Behavioural and Social Computing (BESC), Matsuyama, Japan, 29 October 2022 – 31 October 2022, IEEE, 1-7.
Romero Moreno, G., Padilla, J., and Chueca, E. (2022) Learning VAA: A new method for matching users to parties in voting advice applications. Journal of Elections, Public Opinion and Parties, 32(2), 339-357.
2021
Bruinsma, B. (2021). Challenges in comparing cross-country responses in voting advice applications. Journal of Elections, Public Opinion and Parties, DOI: 10.1080/17457289.2021.2001473
Padilla, J., Ramos, J., Romero, G., & Chueca, J. E. (2021). A normative set of criteria to increase political competence through voting advice applications. International Journal of Electronic Governance, 13(2), 149-175.
Wheatley, J., and Mendez, F. (2021) Reconceptualising dimensions of political competition in Europe: A demand side approach. British Journal of Political Science, 51(1), 40-59
Wurthmann, L. C., Marschall, S., Triga, V., and Manavopoulos, V. (2021) Many losers–One winner? An examination of vote switching to the AfD in the 2017 German federal election using VAA data. Party Politics, 27(5), 870–882.
2020
Bruinsma, B. (2020) A comparison of measures to validate scales in voting advice applications. Quality & Quantity, 54(4), 1299–1316.
Bruinsma, B. (2020) Evaluating visualisations in Voting Advice Applications. Statistics, Politics and Policy, 11(1), 1-21.
Bruinsma, B. (2020) Assessing Response Behaviour in Voting Advice Applications. Paper presented at the European Consortium for Political Research General Conference, August 24-28.
Gemenis, K. (2020) Using Voting Advice Application Data in Empirical Research: Practical, Ethical, and Methodological Issues. Paper presented at the European Consortium for Political Research General Conference, August 24-28.
Christiansmeyer, G., and Kaufer, R. (2020) Clicking and Voting: Agendas of Voting Advice Applications (VAA) for the European Elections 2019. In Die Europawahl 2019 (pp. 253-264). Wiesbaden: Springer.
Lefkofridi, Z., and Nezi, R. (2020) Responsibility versus responsiveness… to whom? A theory of party behavior. Party Politics, 26(3), 334-346.
Manavopoulos, V., Mendez, F., and Djouvas, C. (2020) Mapping Voters’ Engagement with Political Information Sites: The Case of Voting Advice Applications. Paper presented at the European Consortium for Political Research General Conference, August 24-28.
Terán, L. (2020) Dynamic Profiles for Voting Advice Applications: An Implementation for the 2017 Ecuador National Elections. Cham, Switzerland: Springer Nature.
Triga, V., Gemenis, K., and Katsanidou, A. (2020) Was it “The Economy, Stupid” or the Macedonia Issue? Explaining Voting Preferences During the 2019 Elections in Greece. Paper presented at the European Consortium for Political Research General Conference, August 24-28.
2019
Bruinsma, S.C.J. (2019) Empowering Citizens in the Digital Age: A Systematic Evaluation of Voting Advice Applications and Best Practices for their Design. PhD thesis, Scuola Normale Superiore.
Gemenis, K., and Mendez, F. (2019) Measuring party system polarisation with Voting Advice Application data. Paper presented at the European Consortium for Political Research General Conference, Wroclaw, September 4-7.
Gemenis, K., Mendez, F., and Wheatley, J. (2019) Helping citizens to locate political parties in the policy space: A dataset for the 2014 elections to the European Parliament. Research Data Journal for the Humanities and Social Sciences, doi: 10.1163/24523666-00401002
Germann, M., and Gemenis, K. (2018) Getting out the vote with Voting Advice Applications. Political Communication, 36: 149-170.
Lorenc, K. (2019). Voting Advice Applications as tools for researching and influencing voters: agenda setting and framing in European VAAs. World Scientific News, 129, 72-84.
Ramos, J., Padilla, J., and Chueca, E. (2019). Abstentionism, Voting Advice Applications and voting activation. Statistics, Politics and Policy, 10: 55-85.
Triga, V., and Manavopoulos, V. (2019). Examining voter-flight from mainstream parties using VAA data from different national elections contexts. Paper presented at the European Consortium for Political Research General Conference, Wroclaw, September 4-7.
Triga, V., and Manavopoulos, V. (2019). Does mode of administration impact on quality of data? Comparing a traditional survey versus an online survey via a Voting Advice Application. Survey Research Methods, 13: 181-194.
Wheatley, J. (2019) The Changing Shape of Politics: Rethinking Left and Right in a New Britain. Basingstoke, England: Palgrave Macmillan.
2018
Agathokleous, Μ. (2018) Συστήματα συστάσεων σε ηλεκτρονικούς συμβούλους ψήφου [Recommender Systems in Voting Advice Applications]. PhD thesis, Cyprus University of Technology.
Binding, G. (2018) Complexity in European political spaces: Exploring dimensionality with users. Paper presented at the European Consortium for Political Research Joint Sessions of Workshops, Nicosia, April 10-14.
Bruinsma, B. (2018) The effect of question wording in VAA questionnaires on their vote recommendation. Paper presented at the European Consortium for Political Research Joint Sessions of Workshops, Nicosia, April 10-14.
Burean, T. (2018) Policy and voting preferences of Romanian migrants, 2000-2016. Political Preferences, 19: 5-29.
Djouvas, C., Antoniou, A., and Tsapatsoulis, N. (2018) Improving Social Vote Recommendation in VAAs: The Effects of Political Profile Augmentation and Classification Method. In 2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), pp. 1-6, 10.1109/SMAP.2018.8501885
Garry, J., Tilly, J., Matthews, N., Mendez, F., and Wheatley, J. (2018) Does receiving advice from Voter Advice Applications (VAAs) affect public opinion in deeply divided societies? Evidence from a field experiment in Northern Ireland. Party Politics, doi: 10.1177/1354068818818789
Gemenis, K. (2018) The Impact of Voting Advice Applications on electoral turnout: Evidence from Greece. Statistics, Politics, and Policy, 9: 161-179.
Mendez, F. (2018) Unfolding the ideological and identitarian dimension of Brexit preferences. Paper presented at the European Consortium for Political Research Joint Sessions of Workshops, Nicosia, April 10-14.
Nagarjan, S., and Mohamed, A. (2018). An effective approach for party recommendation in Voting Advice Application. In International Conference on Innovations in Bio-Inspired Computing and Applications (pp. 118-128). Cham, Switzerland: Springer Nature.
Popp, R. (2018) Political Representation in Different Electoral Settings: Measuring Issue Congruence with VAA-Generated Data. Paper presented at the European Consortium for Political Research Joint Sessions of Workshops, Nicosia, April 10-14.
Ramos, J., Padilla, J., and Chueca, E. (2018) Voting Advice Applications (VAAs) and young voting behavior in European Elections. Paper presented at the European Consortium for Political Research Joint Sessions of Workshops, Nicosia, April 10-14.
Reiljan, A., Kutiyski, Y., & Krouwel, A. (2018). Mapping parties in a multidimensional European political space: A comparative study of the EUvox and euandi party position data sets. Party Politics, doi: 10.1177/1354068818812209
Shikano, S., and Küntzler, T. (2018) Social Media Campaigns for Voting Advice Applications: Effects and Implications. Paper presented at the European Consortium for Political Research Joint Sessions of Workshops, Nicosia, April 10-14.
Terán, L. (2018) Participa Inteligente: A VAA 2.0 for Citizens’ Discussion and Participation. In CeDEM Asia 2018: Proceedings of the International Conference for E-Democracy and Open Government; Japan 2018 (pp. 137-145). Edition Donau-Universität Krems
Triga, V., Manavopoulos, V., Marschall, S., and Wurthmann, L.C. (2018) The Impact of VAAs on Political Engagement: Insights from Panel Data collected during the campaign for the 2017 German Federal Elections. Statistics, Politics and Policy, 9: 105-134.
2017
Bekišas, T. (2017). Party positions on the European Union in the Baltic states. Do they compete? Do they mirror voters’ positions? Baltic Journal of Political Science, 6: 75-93.
Binding, G., and Willi, T. (2017) Imputation of User Generated Data. Paper presented at the European Consortium for Political Research General Conference, Oslo, September 6-9.
Djouvas, C. (2017) Different Technologies, same Assumptions? Comparing the Response Behaviour (and Political Stance) of Mobile versus Desktop VAA users. Paper presented at the European Consortium for Political Research General Conference, Oslo, September 6-9.
Garry, J., Matthews, N. and Wheatley, J. (2017) Dimensionality of policy space in consociational Northern Ireland. Political Studies, 65: 493-511.
Gyárfášová, O. (2017). The EU Agenda as an Emerging Cleavage of Political Competition? Parties and Their Voters in Slovakia. In Political Communication and European Parliamentary Elections in Times of Crisis (pp. 151-165). Palgrave Macmillan, London.
Krouwel, A., & Kutiyski, Y. (2017). Soft Sceptics and Hard Rejectionists: Identifying two types of Eurosceptic voters. In The Routledge Handbook of Euroscepticism (pp. 189-203). Routledge.
Mendez, F. (2017) Matching Voters with Parties: A Social Computing Perspective. Paper presented at the European Consortium for Political Research General Conference, Oslo, September 6-9.
Mendez, F. (2017) Modeling proximity and directional decisional logic: What can we learn from applying statistical learning techniques to VAA-generated data? Journal of Elections, Public Opinion and Parties, 27: 31-55.
Mendez, F., and Gemenis, K. (2017) Beyond Subjective Electoral Utilities: Testing Direction and Proximity Models of Issue Voting using objectively revealed Policy Preferences. Paper presented at the European Consortium for Political Research General Conference, Oslo, September 6-9.
Ramos, J., Padilla, J., & Chueca, E. (2017). ICTs and democratic deficit in the EU: how VAA can help improve the democratization of EU institutions and practices: the case of EU-Vox 2014, European elections in Spain. In Proceedings of the Internationsl Conference on Electronic Governance and Open Society: Challenges in Eurasia (pp. 70-77), doi: 10.1145/3129757.3129771
Serdült, U., Wheatley, J., and Mendez, F. (2017) ¿Qué Pueden Decirnos las Aplicaciones de Ayuda al Votante sobre los Votantes? Una breve mirada a los datos de Ecuador. In: Teran, L., and Meier, A. eDemocracy & eGovernment: Etapas hacia la sociedad democrática del conocimiento. Quito: s.n., 254-266, doi: 10.5167/uzh-144134
Terán, L., and Mancera, J. (2017) Applying Dynamic Profiles on Voting Advice Applications. In Wirtschaftsinformatik in Theorie und Praxis (pp. 153-175). Springer Vieweg, Wiesbaden.
Terán, L., and Mancera, J. (2017) Dynamic Profiles Using Sentiment Analysis for VAA’s Recommendation Design. Procedia Computer Science, 108: 384-393.
Triga, V. (2017). Parties and Change in the Post-Bailout Cyprus: The May 2016 Parliamentary Elections. South European Society and Politics, 22: 261-279.
Tsapatsoulis, N., and Agathokleous, M. (2017) Forecasting elections from VAA data: What the undecided would vote? In Semantic and Social Media Adaptation and Personalization (SMAP), pp. 46-52, doi: 10.1109/SMAP.2017.802266
Tsapatsoulis, N., and Agathokleous, M. (2017) Voting Intention: ‘I Prefer not to Say’ Versus ‘I am Undecided’. Paper presented at the European Consortium for Political Research General Conference, Oslo, September 6-9.
2016
Agathokleous, M. and Tsapatsoulis, N. (2016) Applying hidden Markov models to Voting Advice Applications. EPJ Data Science, 5 (34), doi: 10.1140/epjds/s13688-016-0095-z
Agathokleous, M., Tsapatsoulis, N. and Djouvas, C. (2016) Estimating party-user similarity in Voting Advice Applications using Hidden Markov Models. Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2016), Boston, MA, USA, September 16, pp. 6-13.
Bruinsma, B. (2016) Assessing the data quality of items in Voting Advice Applications. Paper presented at the ESA RN 21 Midterm Conference ‘Data quality in quantitative research’, Nicosia, October 13-15.
Djouvas, C., Mendez, F. and Tsapatsoulis, N. (2016) Mining online political opinion surveys for suspect entries: An interdisciplinary comparison. Journal of Innovation in Digital Ecosystems, 3(2): 172-182.
Gemenis, K. (2016) Detecting biased and redundant statements in voting advice applications. Paper presented at the European Consortium for Political Research General Conference, Prague, September 7-10.
Gemenis, K., Mendez, F. and Wheatley, J. (2016) The reliability and validity of the iterative expert survey approach for measuring parties’ policy positions. Paper presented at the European Consortium for Political Research General Conference, Prague, September 7-10.
Gemenis, Kostas, and Vasilopoulos, Pavlos (2016) Οι θέσεις των Οικολόγων Πράσινων εν μέσω της οικονομικής κρίσης [The positions of the Ecologist Greens during the economic crisis] In I. Botetzagias & W. Rüdig (Eds.), Οικολογικά πολιτικά κόμματα: Η Ευρωπαϊκή εμπειρία και η Ελληνική διάσταση (pp. 331-347). Athens: Green Institute.
Katsanidou, A. (2016) Greece in times of crisis. In M. Voicu, I. C. Mochmann & H. Dülmer (Eds.) Values, Economic Crisis and Democracy (pp. 223-239). Abingdon: Routledge.
Katsanidou, A., and Otjes, S. (2016) How the European debt crisis reshaped national political space: The case of Greece. European Union Politics 17: 262-284.
Manavopoulos, V. and Triga, V. (2016) Testing the mode effect hypothesis: A comparison of the response styles of traditional survey respondents and online (VAA) respondents. Paper presented at the European Consortium for Political Research General Conference, Prague, September 7-10.
Wheatley, J. (2016) What VAA-generated data can tell us about the Left-Right divide: Strong in the south, weak in the north. Paper presented at the European Consortium for Political Research General Conference, Prague, September 7-10.
Wheatley, J. (2016). Cleavage structures and dimensions of ideology in English politics: Evidence from Voter Advice Application data. Policy & Internet, 8(4): 457-477.
2015
Bale, T., Garry, J. and Wheatley J. (2015) App suggests parties may have less room for manoeuvre on coalition options than they’d like. The Conversation (29 April 2015)
Burean, T., Popp, R. (2015) The ideological mapping of political parties in Romania . Romanian Journal of Society and Politics 10(1): 118-136.
Van Hecke, S., Capelle, L., & Pittoors, G. (2015) Seniors in the 2014 European Parliament Elections: Turnout, Vote Intentions and Representation. Wilfried Martens Centre for European Studies Policy Brief.
Djouvas, C. & Gemenis, K. (2015) SmartCoding: A web-based system for estimating parties’ policy positions. Paper presented at the Webdatanet Conference, 26-28 May 2015, Salamanca, Spain.
Djouvas, C., Gemenis, K. & Mendez, F. (2015) Pattern-based rogue identification. Paper presented at the Webdatanet Conference, 26-28 May 2015, Salamanca, Spain.
Gemenis, K. (2015) An iterative expert survey approach for estimating parties’ policy positions. Quality & Quantity, 49: 2291-2306. [Preprint]
Gemenis, K., Konstantinidis, I., Triga, V. (2015) Οι ηλεκτρονικοί σύμβουλοι ψήφου στην Ελλάδα [Voting advice applications in Greece]. Επιστήμη και Κοινωνία 33: 177-210. [Preprint]
Georgiadou, V. (2015) Krise, aber nicht Unregierbarkeit: Das griechische Parteiensystem im Umbruch. In U. D. Klemm & W. Schultheiß (Eds.), Die Krise in Griechenland: Ursprünge, Verlauf, Folgen (pp. 70-88). Frankfurt am Main: Campus Verlag.
Germann, M., Mendez, F. (2015) Dynamic scale validation reloaded: Assessing the psychometric properties of latent measures of ideology in VAA spatial maps. Quality & Quantity, doi: 10.1007/s11135-014-0109-5 [Replication files]
Germann, M., Mendez, F., Wheatley, J., Serdült, U. (2015). Spatial maps in Voting Advice Applications: The case for dynamic scale validation. Acta Politica 50 : 214–238.
Hess, A., Kasprowicz, D., Lisowska-Magdziarz, M., Flis, J., Nowak, K., Słupek, L., … & Świerczyńska-Głownia, W. (2015) Nawigacja na mniejszych akwenach: Programy ugrupowań I kandydatów samorządowych w aplicacji internetowej Barometr Wyborczy. e-Politikon 15: 8-44.
Linhart, E., and Shikano, S. (2015). Koalitionsbildung nach der Bundestags-wahl 2013: Parteien im Spannungsfeld zwischen Ämter-, Politik-und Stimmenmotivation. In K. R. Korte (Ed.), Die Bundestagswahl 2013 (pp. 457-484). Berlin: Springer.
Manavopoulos, V. (2015) Dimensionality of political attitudes across the EU: A comparison using data From the ‘EUvox’ Voting Advice Application. Paper presented at the European Consortium for Political Research General Conference, Montreal, Canada August 28-30.
Manavopoulos, V., Mendez, F., Serdült, U. (2015) Homophily among VAA users: The case of Ecuador. Proceedings of the Second International Conference on eDemocracy & eGovernment (ICEDEG), pp. 61-66, doi: 10.1109/ICEDEG.2015.7114487
Triga, V. & Spyridou, P. (2015) The Mediatization of European Electoral Campaign: The Case of EUVOX. Paper presented at the European Consortium for Political Research General Conference, Montreal, Canada August 28-30.
Tsapatsoulis, N., Agathokleous, M., Djouvas, C., Mendez, F. (2015) On the design of Social Voting Recommendation Applications, International Journal on Artificial Intelligence Tools, 24(3), doi: 10.1142/s0218213015500098
Wheatley, J. (2015) The use VAA-generated data to identify ideological dimensions: The case of Ecuador. Proceedings of the Second International Conference on eDemocracy & eGovernment (ICEDEG), pp. 55-60, doi: 10.1109/ICEDEG.2015.7114470
Wheatley, J. (2015) Restructuring the policy space in England: The end of the Left–Right paradigm? British Politics, 10: 268-285.
Wheatley J., Garry, J. and Bale, T. (2015) Why Lib Dems are in pole position to drive policy in coalition negotiations. The Conversation (6 May 2015)
Wheatley, J. & Mendez, F. (2015) Exploiting VAA-generated Data to Explore and Compare Programmatic Structuring Within EU Party Systems. Paper presented at the European Consortium for Political Research General Conference, Montreal, Canada August 28-30.
2014
Djouvas, C., Gemenis, K., Mendez, F. (2014) Weeding out the rogues: How to identify them and why it matters for VAA-generated datasets. Paper presented at the European Consortium for Political Research General Conference, Glasgow, September 5-7.
Djouvas, C., Tsapatsoulis, N. (2014) A view behind the scene: Data structures and software architecture of a VAA. Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 136-141, doi: 10.1109/SMAP.2014.21
Gemenis, K., Rosema, M. (2014). Voting advice applications and electoral turnout. Electoral Studies, doi: 10.1016/j.electstud.2014.06.010 [Preprint]
Gemenis, K., Van Ham, C. (2014). Comparing methods for estimating parties’ positions in Voting Advice Applications, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates (pp. 33-47). Colchester: ECPR Press. [Preprint]
Katakis, I., Tsapatsoulis, N., Mendez, F., Triga, V., Djouvas, C. (2014). Social voting advice applications-definitions, challenges, datasets and evaluation. IEEE Transactions on Cybernetics, 44(7): 1039-1052. [Preprint]
Manavopoulos, V. (2014) Homophily among VAA users: Similarities and differences of node attributes in a VAA-generated social network. Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 149-154, doi: 10.1109/SMAP.2014.35
Mendez, F. (2014) What’s behind a matching algorithm: A critical assessment of how Voting Advice Applications produce voting recommendations, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates (pp. 49-66). Colchester: ECPR Press. [Preprint]
Mendez, F. (2014) Modelling proximity versus directional logic in VAAs. Paper presented at the European Consortium for Political Research General Conference, Glasgow, September 5-7.
Mendez, F., Gemenis, K., Djouvas, C. (2014) Methodological challenges in the analysis of Voting Advice Application generated data. Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 142-148, doi: 10.1109/SMAP.2014.32
Mendez, F., Wheatley, J. (2014) Using VAA-generated data for mapping partisan supporters in the ideological space, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates (pp. 161-174). Colchester: ECPR Press. [tables]
Nezi, R. and A. Katsanidou (2014) From valence to position: Economic voting in extraordinary conditions. Acta Politica 49: 413–430.
Roushas, R. (2014). Understanding the electoral breakthrough of Golden Dawn in Greece: A demand and supply perspective. COMPAS Working Paper No. 112. Oxford: International Migration Institute.
Triga, V. (2014). Social representations of VAAs: A comparative analysis, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates (pp. 129-144). Colchester: ECPR Press. [Annex]
Triga V., Manavopoulos, V. (2014) What kind of data do voting advice applications generate? A comparison of two modes of administering surveys. Paper presented at the European Consortium for Political Research General Conference, Glasgow, September 5-7.
Triga V., Mendez, F., Manavopoulos, V. (2014) Comparing online and offline modes of survey administration: VAA versus traditional survey administration. Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 130-135, doi: 10.1109/SMAP.2014.30
Tsapatsoulis, N., Mendez, F. (2014) Social vote recommendation: Building party models using the probability to vote feedback of VAA users. Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 124-129, doi: 10.1109/SMAP.2014.17
Wheatley, J. (2014) Identifying latent policy dimensions from public opinion data: An inductive approach. Journal of Elections, Public Opinion & Parties, doi: 10.1080/17457289.2014.985222
Wheatley, J. (2014) Exploiting VAA-generated data to identify policy dimensions: The case of England. Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 118-123, doi: 10.1109/SMAP.2014.16
Wheatley, J., and Germann, M. (2014) Adjusting for sample bias in VAA datasets: Can it be done and does it matter? Paper presented at the ECPR General Conference, Glasgow, September 5-7.
Wheatley, J., Carman, C., Mendez, F. and Mitchell, J. (2012) The Dimensionality of the Scottish Political Space: Results from an Experiment on the 2011 Holyrood Elections. Party Politics 20(6) : 864-878
2013
Agathokleous, M., Tsapatsoulis, N. (2013) Voting Advice Applications: Missing value estimation using matrix factorization and collaborative filtering. IFIP Advances in Information and Communication Technology, Volume 412, pp 20-29.
Agathokleous, M., Tsapatsoulis, N., Katakis, I. (2013). On the quantificiation of missing value impact on Voting Advice Applications, In: Proceedings of EANN 2013: 14th Engineering Applications of Neural Networks, Halkidiki Greece, Chalkidiki, 2013. [Preprint]
Dinas, E., and Rori, L. (2013) The 2012 Greek parliamentary elections: Fear and loathing in the polls. West European Politics 36: 270-282.
Gemenis, K. (2013) Estimating parties’ policy positions through voting advice applications: Some methodological considerations. Acta Politica, 48: 268-295.
Germann, M., and F. Mendez (2013) Dynamic scale validation reloaded: Assessing the psychometric properties of latent measures of ideology in VAA spatial maps. Paper presented at the European Consortium of Political Research, General Conference Bordeaux, France, September 5-7. [Appendix]
Jiglău, G., T. Burean and G Bădescu (2013). The Ideological Mapping of Political Parties in Romania. The Relationship between Dimensions of Competition and Ideological Consistency. Paper presented at the European Consortium of Political Research General Conference, Bordeaux, France, September 5-7.
Navarrete, R and J. Ramos Díaz (2013) What Drives the Youth Vote?: Evidence from Three Regional Elections in Spain, 2012. Paper presented at the European Consortium of Political Research General Conference Bordeaux, France, September 5-7.
Serdült, U., F. Mendez, V. Manavopoulos (2013) Voting Advice Application generated network data. Paper presented at Applications of Social Network Analysis (ASNA), Zurich, August 28-30.
Shikano, S. (2013). Estimating ideological positions of political parties using a deliberative expert survey. Paper prepared for Voting Advice Applications Workshop, University of Twente, The Netherlands, November 15
Vasilopoulou, S., and Halikiopoulou, D. (2013) In the shadow of Grexit: The Greek election of 17 June 2012. South European Society & Politics 18: 523-542.
2012
Baka, A., Figgou, L., Triga, V., (2012) ‘Neither agree, nor disagree’: A critical analysis of the middle answer category in Voting Advice Applications. International Journal of Electronic Governance, 5: 244-263.
Garcia, D., Mendez, F., Serdült, U., Schweitzer, F. (2012) Political polarization and popularity in online participatory media: an integrated approach. Proceedings of the 21st ACM International Conference on Information Knowledge Management.
Gemenis, K. (2012) A new approach for estimating parties’ positions in voting advice applications. Paper presented at the XXVI Congress of the Italian Political Science Association, Università Roma Tre, Rome, September 13-15.
Germann, M., Mendez, F., Serdult, U., Wheatley, J. (2012). Exploiting Smartvote Data for the Ideological Mapping of Swiss Political Parties. Paper presented at the XXVI Congress of the Italian Political Science Association, Università Roma Tre, Rome, September 13-15.
Katakis, I., N. Tsapatsoulis, V. Triga, C. Tziouvas, F. Mendez (2012). Clustering Online Poll Data: Towards a Voting Assistance System. Proceedings of the 7th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP’12), Luxembourg.
Mendez, F. (2012) Matching voters with political parties and candidates: An empirical test of four algorithms. International Journal of Electronic Governance, 5: 264-278.
Mendez, F. (2012) What’s inside the black box? A critical assessment of how voting recommendations are produced by VAAs. Paper presented at the XXII Congress of the International Political Science Association, Madrid, July 8-12.
Rori, L., and Dinas, E. (2012) Les élections législatives grecques de 2012: des élections à haut risqué. Pôle Sud 37: 173-183.
Triga, V., Serdült, U., and Chadjipantelis, T., (2012) Introduction: Voting Advice Applications and the State of the Art. International Journal of Electronic Governance, 5: 194-202.
Wheatley, J (2012) Using VAAs to Explore the Dimensionality of the Policy Space: Experiments from Brazil, Peru, Scotland and Greece. International Journal of Electronic Governance, 5: 318-348.
Wheatley, J. and Mendez, F. (2012) Exploiting VAAs to Study the Dimensionality of the Policy Space: The Greek Case. Paper presented at the IP-VAA’12: Interdisciplinary Perspectives on Voting Advice Applications Workshop, Cyprus University of Technology, Limassol, November 22-24.
2011
Marzuca Perera, A., Serdült, U., and Welp, Y. (2011) Questão Pública: First Voting Advice Application in Latin America, in: Tambouris, E., Macintosh, A., de Bruijn, H. (Eds.) Electronic Participation: Third IFIP WG 8.5 International Conference, ePart 2011, Delft, The Netherlands, August 29 – September 1, 2011 Proceedings [Lecture Notes in Computer Science 6847]. Heidelberg, Springer, 216-227.