About Me

Curriculum Vitae

I am a Postdoctoral Researcher at the University of Amsterdam (Amsterdam School of Communication Research). My research focuses on digital election campaigns, specifically data-driven campaigning and political microtargeting. I am very passionate about reproducible open science, data visualization and communicating insights from data to a broader audience. In my spare time, I am constantly looking for new ways to improve my R skills and acquire new methods in my tool box. Finally, I am very enthusiastic about teaching statistics and programming, both introductory courses or more advanced topics.

Here I present dashboards that I created in collaboration with Who Targets Me to show the (micro-)targeting strategies during a selected number of national and regional elections. Typically you can see spending and target audiences used by political parties and candidates.

• 🇳🇱 2021 Dutch parliamentary election (15th-17th March 2021)
• 🇩🇪 2021 German federal election (26 September 2021)
• 🇸🇪 2022 Swedish general election (11th September 2022)
• 🇺🇸 2022 United States midterm elections (8th November 2022)
• 🇺🇸 2022 United States midterm elections - Georgia Runoff (6th December 2022)
• 🇮🇹 2023 Lazio & Lombardy regional election (12-13th February 2023)
• 🇪🇪 2023 Estonian parliamentary election (5th March 2023)
• 🇳🇱 2023 Dutch provincial elections (15th March 2023)
• 🇲🇪 2023 Montenegrin presidential elections (19th March 2023) - 1st round
• 🇦🇺 2023 New South Wales state election (25th March 2023)
• 🇫🇮 2023 Finnish parliamentary election (2 April 2023)
• 🇹🇷 2023 Turkish general election (14 May 2023) - Round 1
• 🇩🇪 2023 Bremen State election (14 May 2023)
• 🇬🇷 2023 Greek Legislative election (21 May 2023)
• 🇹🇷 2023 Turkish Presidential election (14 May 2023) - Round 2
• 🇲🇪 2023 Montenegrin parliamentary elections (11 June 2023)
• 🇬🇷 2nd 2023 Greek Legislative election (25 May 2023)
• 🇸🇰 2023 Slovak parliamentary election (30 September 2023)
• 🇩🇪 2023 Bavarian state election (8 October 2023)
• 🇩🇪 2023 Hessian state election (8 October 2023)
• 🇳🇿 2023 New Zealand general election (14 October 2023)
• 🇵🇱 2023 Polish parliamentary election (15 October 2023)
• 🇺🇸 US Presidential Election (2024)

• peRspective - Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. The package provides access to the API using the R programming language.

• metatargetr - The goal of metatargetr is to parse targeting information from the Meta Ad Targeting dataset as well as retrieve data from the Audience tab in the Meta Ad Library.

• untruthr - The goal of untruthr is to provide access to the social networking website Truth Social.

• appendornot - The goal of appendornot is to provide easy access to writing and appending csv or text files.

• rmdprotectr - The goal of rmdprotectr is to password protect Rmarkdown HTML documents.

• wtmapi - The goal of wtmapi is to provide access to the public data API of Who Targets Me.

• datenguideR - R wrapper for the datengui.de GraphQL API to easily access German regional statistics.

• dialektversum - Translate German into: Swabian, Saxonian, Bavarian, Hessian, Berlinerisch and Plattdeutsch.

APSA ITP Best Journal Article Award 2023

• This award is given to best article published in Information Technology and Politics (ITP) published in 2022. The awarded paper can be found here.

Best Paper Award in Political Communication at ICA 2023

• This award is given to the best paper presented in the Political Communication division at the International Communication Association (ICA) annual conference in Toronto 2023. The awarded paper is: Algorithmic Microtargeting? Testing the Influence of the Meta Ad Delivery Algorithm.

Naomi C. Turner Prize 2018

• This prize is awarded for the best paper presented by a graduate student at the World Association for Public Opinion (WAPOR) annual conference in Marrakesh 2018. Find the paper here.

Between 2017 and 2020, led the R-User Group Stuttgart and taught multiple workshops:

• Introduction to R

• Introduction to Linear Regression

• How to perform Diagnostics for Linear Regression

• Introduction to Multilevel Regression

• Intorduction to Computational Social Science

Winter Semester ²⁰¹⁸⁄₁₉ and Summer Semester 2019:

• Master course tutorial to the accompanying lecture “Statistical Modeling II” at the University of Stuttgart which covered advanced statistical models like multilevel regression

April 2020:

• Workshop on how create R packages for Correlaid

November 2020:

• Workshop on data visualization at the Vrije Universiteit Amsterdam

July 2021 and July 2022

• “Introduction to R” course for the Data Science Summer School at the Hertie School (Berlin)

March 2022

• Workshop on how to use multilevel regression in R at PhD Club (University of Amsterdam)

June 2022

• 2-day workshop “Introduction to Quantitative Text Analysis” at the University of Warwick

Spring Semester 2024

• “Introduction to Computational Communication Science” at the University of Amsterdam

Tweets by FabioFavusMaxim

• fabio.votta@gmail.com