Glanz: aiMOOC über GPT aiMOOC Action erstellt

2026-09-04T05:56:09Z

aiMOOC über GPT aiMOOC Action erstellt

Neue Seite

{{T}}
[[Category:English]]
[[Category:Nikita Zakharov Freiburg]]

{{BR}}
= Introduction =

'''Nikita Zakharov Freiburg''' is an aiMOOC about the publicly documented academic work of Dr. Nikita Zakharov at the [[English:University of Freiburg|University of Freiburg]]. As of 2026, the University of Freiburg's Department of International Economic Policy lists him among its research assistants. His publication record places him in [[English:Political economy|political economy]], especially the empirical study of [[English:Autocracy|autocracy]], [[English:Corruption|corruption]], media, elections, political behavior, and institutions.

This course is designed for advanced secondary-school learners, university students in economics or political science, and vocational learners in journalism, public policy, data analysis, or civic education. You will not study Zakharov's private life. Instead, you will learn how to read an economist's public research profile, connect research questions to methods, interpret causal claims carefully, and transfer ideas from political economy to new cases.

[[File:Freiburg im Breisgau, Universität, Kollegiengebäude I -- 2025 -- 8065.jpg|500px|frameless|center]]

The Freiburg connection matters because Zakharov's research is embedded in an academic environment that emphasizes empirical economic research and the interaction between political institutions and economic outcomes. The university's public pages list research and discussion papers that connect his work to questions of media freedom, authoritarian politics, public policy, corruption, and development.

{{BR}}
== Learning Goals ==

After completing this aiMOOC, you should be able to explain the main themes in Zakharov's published research, distinguish correlation from causal identification, evaluate the strengths and limits of experiments and quasi-experiments, summarize findings without overstating them, connect media institutions to political accountability, and design a small research project inspired by political-economy questions.

{{BR}}
= Academic Profile and Freiburg Context =

The University of Freiburg's public academic pages identify '''Dr. Nikita Zakharov''' with the Department of International Economic Policy. A RePEc author profile also lists his affiliation with the University of Freiburg and documents research output in political economy. In 2022, the chair announced that the University of Freiburg had awarded him the Friedrich-August-von-Hayek Award 2021 for his dissertation '''Corruption in Russia'''.

This combination of affiliation, dissertation topic, and publication record gives a clear educational focus: Zakharov's work investigates how political institutions, media environments, incentives, information, and economic resources interact. The studies frequently use Russia as an empirical setting, but the concepts can be compared with other political systems.

[[File:Library of the University of Freiburg.jpg|500px|frameless|center]]

{{BR}}
== Why Study a Researcher Through Their Publications? ==

An academic profile is more than a list of titles. You can use publications to reconstruct a research agenda. Look for recurring dependent variables, recurring institutions, repeated methods, and changes in the questions over time. In Zakharov's work, several recurring themes appear: corruption and investment, resource revenues and institutions, independent media and political support, media repression around elections, propaganda and public attitudes, and the use of empirical identification strategies to estimate causal effects.

You should also distinguish the status of different outputs. A peer-reviewed journal article has passed formal journal review, while a discussion paper or working paper is often earlier-stage research that may later be revised. Both can be valuable, but they should not automatically be treated as equivalent forms of evidence.

{{BR}}
= Research Theme: Corruption and Institutions =

Zakharov's earlier research includes work on [[English:Corruption|corruption]] in Russia and on whether corruption hinders investment. His 2019 article '''Does corruption hinder investment? Evidence from Russian regions''' appeared in the ''European Journal of Political Economy''. The central research problem is not merely whether corruption and investment are associated, but whether corruption itself changes investment behavior once other influences are accounted for.

A related line of work studies the [[English:Resource curse|resource curse]]. In '''Asymmetric oil price shocks, tax revenues, and the resource curse''' in ''Economics Letters'' in 2020, Zakharov investigates how externally driven oil-price changes can affect tax revenue and institutional outcomes. The study reports an asymmetric pattern: positive oil windfalls were associated with deterioration in several institutional measures, while negative shocks did not produce a mirror-image institutional improvement.

For learners, the key methodological lesson is that researchers seek sources of variation that are plausibly external to the local political process. If a change in world oil prices affects some regions more than others for reasons not created by the regional government, that variation can help researchers move beyond a simple correlation.

{{BR}}
== From a Research Question to a Causal Claim ==

A causal claim requires a comparison between what happened and a credible estimate of what would have happened without the treatment or exposure. In experimental research, random assignment can create this counterfactual. In observational research, economists use designs such as natural experiments, instrumental variables, difference-in-differences, regression discontinuities, or other identification strategies.

You should ask four questions whenever you encounter a causal result: What is the treatment? What is the outcome? Why is the comparison group credible? What assumptions are required? A sophisticated reader does not only ask whether a coefficient is statistically significant; you also ask whether the design supports the interpretation.

{{BR}}
= Research Theme: Independent Media, Social Media, and Political Support =

A major recent strand of Zakharov's research concerns information in autocratic settings. The 2026 ''Economic Journal'' article '''Polarise and Rule: Independent Media in Autocracy and the Role of Social Media''', coauthored with Ruben Enikolopov, Michael Rochlitz, and Koen Schoors, uses two complementary field experiments around Russia's 2016 parliamentary election. The research randomized access or promotion related to an independent television channel and examined political responses.

The study's key educational message is that exposure to independent media need not move every citizen in the same direction. The authors report polarization: effects differed according to prior support for the regime and were connected to social-media use. That finding warns against a simplistic model in which independent information automatically produces one uniform political response.

[[File:Noun 33167 - Social media.svg|300px|frameless|center]]

[[File:Echo chamber.svg|500px|frameless|center]]

The result also raises a broader question for [[English:Media literacy|media literacy]]: audiences interpret information through prior beliefs, social identities, and communication networks. This does not mean that all opinions are equally supported by evidence. It means that the effect of information can depend on who receives it, what they previously believed, and how information is encountered.

{{#ev:youtube|https://www.youtube.com/watch?v=0RobBRd_C_k|500|center}}

The video above, a Chicago Humanities program with political scientist Steven Levitsky, provides broader context on democratic erosion and the importance of institutions such as the press. It is not a video by Zakharov and should be used as comparative background.

{{BR}}
= Research Theme: Media Repression and Elections =

In '''Political Cycles of Media Repression''', Günther G. Schulze and Nikita Zakharov analyze whether harassment of journalists in Russia follows electoral cycles. The 2025 University of Freiburg discussion-paper version and the CESifo working-paper version describe a dataset on media repression combined with the staggered timing of local elections.

The authors report that media repression rises in the period before important local elections, especially elections for governors and mayors. They then examine whether repression changes the tone of media reporting and whether it affects the risk of anti-government protest. The broader mechanism proposed by the paper is strategic timing: an autocratic government may permit some media credibility outside election periods while increasing pressure when electoral stakes rise.

This is an example of [[English:Political business cycle|political-cycle]] reasoning applied not to fiscal spending but to media control. The empirical logic depends on comparing places and times with different electoral schedules while controlling for other patterns. You should treat the findings as evidence about the studied setting and period, not as proof that all autocracies use the same strategy.

[[File:V-Dem Regimes of the World 2026.svg|500px|frameless|center]]

[[File:Numbers of autocracies and democracies, OWID.svg|500px|frameless|center]]

The two visualizations above are contextual media from Wikimedia Commons. They help you discuss regime classification and changes in the number of democracies and autocracies, but they use specific datasets and coding rules. Regime labels should therefore be treated as measurement choices rather than self-evident facts.

{{BR}}
= Research Theme: Fear, Propaganda, and Demand for Government Intervention =

The 2026 ''European Economic Review'' article '''Fear, soft propaganda, and the demand for government intervention: Quasi-experimental evidence from Russia''', coauthored by Ekaterina Borisova, Timothy Frye, Koen Schoors, Vladimir Zabolotskiy, and Nikita Zakharov, studies how fear can affect support for government intervention.

The study uses a quasi-experimental design connected to an unexpectedly timed television episode that misreported the fatality risk of COVID-19 during a survey. The researchers use this timing and pre-existing differences in television popularity to isolate variation in fear. They report that greater fear increased demand for several interventions related to the pandemic, such as regulation, health spending, and unemployment support, while effects did not extend in the same way to unrelated policy domains such as censorship or housing.

This study demonstrates why mechanism analysis matters. The authors examine whether fear changes beliefs about other people's compliance with safe behavior, which can increase perceived need for regulation. You should distinguish the empirical result from a moral judgment: estimating that fear increases demand for intervention does not itself tell you whether the intervention is normatively desirable.

{{BR}}
== What Is a Quasi-Experiment? ==

A [[English:Natural experiment|quasi-experiment]] is a situation in which treatment is not assigned by the researcher through a standard randomized experiment, but external events or institutional rules create variation that can approximate experimental logic. The credibility of a quasi-experiment depends on whether the variation is plausibly independent of other causes of the outcome.

To evaluate one, inspect timing, balance, possible spillovers, measurement error, and alternative explanations. Strong empirical research makes its identifying assumptions visible and tests implications of those assumptions where possible.

{{BR}}
= Research Theme: Broadening the Agenda =

Zakharov's publication list also includes research on migration and crime in Colombia, COVID-19 mortality reporting, terrorist attacks and political speech on migration, cash transfers and support for autocratic rulers, and other questions in empirical political economy. This breadth illustrates that a research agenda can remain coherent even when the countries or outcomes change. The unifying questions concern incentives, institutions, information, political behavior, and causal identification.

For you as a learner, the important skill is transfer. Instead of memorizing every paper title, ask how a concept such as accountability, repression, propaganda, corruption, or treatment heterogeneity could be studied in another country, historical period, institution, or online environment.

{{BR}}
= Interpreting Evidence Responsibly =

Empirical political-economy research often deals with sensitive topics and contested interpretations. Responsible reading requires separating three layers: the data observed by the researchers, the statistical estimates produced by the design, and the broader interpretation offered in the paper. A finding can be internally credible for a particular sample and still have limited external validity.

You should also avoid ecological fallacies. A regional relationship does not automatically describe every individual in that region. Likewise, average treatment effects can hide heterogeneous responses across subgroups. The independent-media study is especially useful for learning this point because it reports different effects depending on prior political support and social-media exposure.

{{BR}}
== Research Ethics and Reproducibility ==

Research on elections, propaganda, repression, public health, and political attitudes can involve risks for participants and researchers. Ethical analysis includes informed consent where applicable, privacy protection, minimization of harm, data security, and careful reporting. Replication materials, transparent code, preregistration where suitable, and clearly stated limitations can strengthen confidence in empirical results.

You should never assume that "big data" automatically means good evidence. Data quality, measurement choices, missing observations, sampling, and model specification all influence conclusions.

{{#ev:youtube|https://www.youtube.com/watch?v=LbOG3Db4fWs|500|center}}

The United Nations video above documents a World Press Freedom Day discussion on journalism under digital siege. Use it to compare normative concerns about press freedom with the empirical questions asked in research on media repression.

{{BR}}
= Sources and Further Reading =

The following reliable sources are useful for checking the public academic record and the studies discussed in this course:

# [https://iep.uni-freiburg.de/team/copy_of_team/dr-zhakarov University of Freiburg profile]: Public profile and publication list for Dr. Nikita Zakharov.
# [https://ideas.repec.org/f/pza312.html IDEAS/RePEc author profile]: Bibliographic record and research output.
# [https://academic.oup.com/ej/advance-article-abstract/doi/10.1093/ej/ueag009/8435313 The Economic Journal]: Publication page for ''Polarise and Rule''.
# [https://www.ifo.de/en/cesifo/publications/2025/working-paper/political-cycles-media-repression CESifo]: Working-paper page for ''Political Cycles of Media Repression''.
# [https://www.sciencedirect.com/science/article/pii/S0014292126000681 European Economic Review]: Publication page for ''Fear, soft propaganda, and the demand for government intervention''.
# [https://uni-freiburg.de/econ-iep/news/ University of Freiburg Chair News]: Public announcement of the Friedrich-August-von-Hayek Award for Zakharov's dissertation.

{{BR}}
= Interactive Tasks =

{{BR}}
== Quiz: Test Your Knowledge ==

{{MC}}

'''Which university is central to Zakharov's current public academic affiliation?'''
(University of Freiburg)
(!University of Oxford)
(!University of Vienna)
(!University of Cologne)

{{E}}
<br>

{{MC}}

'''Which field best describes the recurring link between politics and economics in Zakharov's work?'''
(Political economy)
(!Pure geometry)
(!Organic chemistry)
(!Classical philology)

{{E}}
<br>

{{MC}}

'''What is the title of Zakharov's 2026 Economic Journal article on independent media?'''
(Polarise and Rule)
(!Corruption in Russia)
(!Political Cycles of Media Repression)
(!Transit Migration and Crime)

{{E}}
<br>

{{MC}}

'''What did the independent-media study emphasize about political responses?'''
(Effects can be polarizing)
(!All citizens respond identically)
(!Media exposure has no measurable role)
(!Only income determines political response)

{{E}}
<br>

{{MC}}

'''Which study examines the timing of pressure on journalists around elections?'''
(Political Cycles of Media Repression)
(!Does corruption hinder investment)
(!Transit Migration and Crime)
(!Fear and housing markets)

{{E}}
<br>

{{MC}}

'''Which empirical concept is most important for moving from correlation toward causal inference?'''
(Credible identification)
(!Longer titles)
(!More citations)
(!Larger font size)

{{E}}
<br>

{{MC}}

'''What topic is central to Zakharov's 2020 Economics Letters article?'''
(Oil shocks and the resource curse)
(!Marine biology)
(!Ancient philosophy)
(!Quantum computing)

{{E}}
<br>

{{MC}}

'''What was the subject of the dissertation recognized by the Freiburg Hayek Award announcement?'''
(Corruption in Russia)
(!Trade in medieval Europe)
(!Climate physics)
(!Machine translation)

{{E}}
<br>

{{MC}}

'''What kind of design is used in the 2026 study of fear and government intervention?'''
(Quasi-experimental design)
(!Literary close reading)
(!Purely descriptive chronology)
(!Laboratory chemistry)

{{E}}
<br>

{{MC}}

'''What is a careful way to interpret findings from one political setting?'''
(Assess external validity before generalizing)
(!Assume every country behaves the same way)
(!Ignore the research design)
(!Treat one estimate as a universal law)

{{E}}
<br>

{{BR}}
== Memory Game ==

<div class="memo-quiz">
{|
|-
| Political economy || Study of interactions between political institutions and economic outcomes
|-
| Econometrics || Statistical analysis of economic and social data
|-
| Autocracy || Political system with highly concentrated governing power
|-
| Media repression || Pressure or coercion that restricts journalistic activity
|-
| Quasi-experiment || Research design using externally generated variation to approximate experimental comparison
|}
{{E}}
<br>

{{BR}}
== Drag and Drop ==

<div class="lueckentext-quiz">

{| class="wikitable"
! Match the correct terms.
! Topic
|-
| '''Corruption and investment'''
| Does corruption hinder investment
|-
| '''Oil shocks and institutions'''
| Asymmetric oil price shocks and the resource curse
|-
| '''Independent media'''
| Polarise and Rule
|-
| '''Journalist harassment'''
| Political Cycles of Media Repression
|-
| '''Fear and regulation'''
| Fear and demand for government intervention
|}
{{E}}

<br>
...
<br />

{{BR}}
== Crossword Puzzle ==

<div class="kreuzwort-quiz">
{|
|-
| Freiburg || Which German city is central to Zakharov's university affiliation?
|-
| Autocracy || Which regime type is a recurring object of study in his recent political-economy research?
|-
| Econometrics || What field applies statistical methods to economic data?
|-
| Corruption || What institutional problem is central to several of his earlier publications?
|-
| Propaganda || What term describes strategic political messaging studied in some recent work?
|-
| Repression || What word completes the research theme media repression?
|}
{{E}}
<br>

{{BR}}
== LearningApps ==

<iframe> https://learningapps.org/index.php?s=Nikita+Zakharov+Freiburg </iframe>

{{BR}}
== Cloze Text ==

<quiz display=simple>
{'''Complete the text.'''<br>
|type="{}"}
Nikita Zakharov is publicly affiliated with the University of { Freiburg }. His research is situated mainly in empirical { political economy }. Several studies examine political institutions and information in { autocracies }. The 2026 Economic Journal article studies the effects of { independent media }. Research on journalist pressure identifies electoral cycles of media { repression }. A 2020 article connects oil-price shocks to the resource { curse }. The 2026 study of fear and public policy uses a { quasi-experiment }. Careful readers should evaluate identification and external { validity } before generalizing results.
</quiz>

<br>

{{BR}}
= Open-Ended Tasks =

{{BR}}
=== Easy ===
# [[English:Research profile map|Research profile map]]: Create a one-page concept map linking Zakharov's public research themes to corruption, media, elections, institutions, and political behavior.
# [[English:Publication timeline|Publication timeline]]: Build a visual timeline using at least six verified publications and add one sentence explaining the research question of each.
# [[English:Media comparison|Media comparison]]: Compare the Wikimedia visualizations in this course and explain what each one measures or represents.
# [[English:Method vocabulary video|Method vocabulary video]]: Record a two-minute explainer defining treatment, outcome, counterfactual, and identification in your own words.

{{BR}}
=== Standard ===
# [[English:Paper abstract analysis|Paper abstract analysis]]: Select one Zakharov paper and rewrite its abstract for a general audience without changing the factual meaning.
# [[English:Causal diagram|Causal diagram]]: Draw a causal diagram for one study and label possible confounders, treatment, outcome, and mechanism.
# [[English:Expert interview|Expert interview]]: Interview a teacher, journalist, economist, or policy professional about how media freedom can affect political accountability and compare the interview with one paper.
# [[English:Replication planning|Replication planning]]: Design a hypothetical replication in another country and explain which variables, data sources, and ethical safeguards you would need.

{{BR}}
=== Advanced ===
# [[English:Research design critique|Research design critique]]: Write a structured critique of one identification strategy, including assumptions, threats to validity, and possible robustness checks.
# [[English:Heterogeneous effects project|Heterogeneous effects project]]: Propose a study in which the effect of political information could vary across groups and explain how you would test that variation.
# [[English:Comparative political economy study|Comparative political economy study]]: Build a comparative case study that transfers one Zakharov research question to a different regime or historical period.
# [[English:Mini research paper|Mini research paper]]: Produce a 1500 to 2500 word paper with a research question, theory, proposed data, identification strategy, limitations, and a reproducibility plan.

{{:Open Task - Create a MOOC}}

{{BR}}
= Learning Assessment =

# [[English:Causal inference assessment|Causal inference assessment]]: Explain why a statistically significant correlation is not automatically causal and apply your reasoning to one study in this course.
# [[English:Media institutions assessment|Media institutions assessment]]: Compare independent-media exposure and media repression as two different mechanisms that can shape political behavior.
# [[English:External validity assessment|External validity assessment]]: Choose one finding from Russia and identify three reasons it may or may not transfer to another country.
# [[English:Measurement assessment|Measurement assessment]]: Evaluate how the operational definition of corruption, repression, or regime type could affect an empirical conclusion.
# [[English:Research ethics assessment|Research ethics assessment]]: Design an ethical protocol for a study of political information in a restrictive political environment.
# [[English:Policy transfer assessment|Policy transfer assessment]]: Use one research finding to inform a hypothetical policy debate while clearly separating evidence, assumptions, and value judgments.

<br>
<br>

{{BR}}
= Evidence of Learning =

{| class="wikitable"
! Dimension
! Evidence
|-
| Knowledge
| You can accurately explain the main research themes, publication contexts, and methodological concepts.
|-
| Skills
| You can distinguish correlation from causal identification, evaluate assumptions, interpret heterogeneous effects, and assess external validity.
|-
| Products
| You can produce concept maps, timelines, abstracts, causal diagrams, interviews, videos, replication plans, and research papers.
|-
| Transfer
| You can apply political-economy concepts and research-design principles to new countries, institutions, media systems, and policy questions.
|}

<br>
<br>

{{BR}}
= OERs on the Topic =

No dedicated English Wikipedia biography for Nikita Zakharov was identified during preparation of this course. The following contextual OER introduces the broader field in which much of the research sits:

<iframe> https://en.m.wikipedia.org/wiki/Political_economy </iframe>

You can also consult [[English:University of Freiburg|University of Freiburg]], [[English:Political economy|Political economy]], [[English:Autocracy|Autocracy]], [[English:Media freedom|Media freedom]], [[English:Corruption|Corruption]], [[English:Econometrics|Econometrics]], and [[English:Causal inference|Causal inference]] as linked learning areas.

<br>

{{BR}}
= Linked Learning Areas =

{| align=center
{{:D-Tab}}
'''[[English:Nikita Zakharov Freiburg|Nikita Zakharov Freiburg]]'''
# [[English:Political economy|Political economy]]
# [[English:University of Freiburg|University of Freiburg]]
# [[English:Autocracy|Autocracy]]
# [[English:Media freedom|Media freedom]]
# [[English:Corruption|Corruption]]
# [[English:Econometrics|Econometrics]]
# [[English:Causal inference|Causal inference]]
# [[English:Political communication|Political communication]]
|}

[[Category:Economics]]
[[Category:Political economy]]
[[Category:Media literacy]]
[[Category:University education]]
[[Category:Research methods]]

{{BR}}
= aiMOOC Projects =
[[Category:English]]
[[Category:Nikita Zakharov Freiburg]]
[[Category:Economics]]
[[Category:University education]]
[[Category:AI_MOOC]]
[[Category:GPT aiMOOC]]
{{MT}}

English:Nikita Zakharov Freiburg - Versionsgeschichte

Glanz: aiMOOC über GPT aiMOOC Action erstellt