The Manifesto Project provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1000 parties from 1945 until today in over 50 countries on five continents. The DFG-funded MARPOR project continues the work of the Manifesto Research Group (MRG) and the Comparative Manifestos Project (CMP). On this website you find the Manifesto Project Dataset containing the parties' policy preferences generated by the project. You also find coded and uncoded election manifestos of the parties in the dataset as well as information and links to many applications for the dataset, related projects and publications etc.
Coded manifestos available through the Manifesto Corpus: The Corpus publishes the digital codings on the quasi-sentence level the project has produced since 2009. It allows users to verify and check our codings, recode the data for their own purposes, create new subcategories, use them for automatic analysis, etc.
Release of manifestoR: an R packages facilitating use and access of the Manifesto Project Data.
Update 2015a available: It is the first dataset that reports data coded on the basis of the new category scheme. Check Version 5 of the coding instructions to learn more about the new category scheme. For everyone doing over time comparisons the dataset also reports the data aggregated into the old category scheme.
First data from South American countries published: This new dataset will provide data on South American parties and presidential candidates. So far it contains data from Argentina, Brazil and Chile, more countries and elections will follow.
Monday morning service post:
It's only six more days until the deadline for the #CallforPaper for our @manifesto_proj #userconference in March 2019.
Start your week right and send us an abstract, we are looking forward to it!
More infos here: https://manifesto-project.wzb.eu/conference-2019 https://t.co/jE5JNaBHbI
Sometimes less is more? @manifesto_proj fellow Theres Matthieß has examined the performance of both majority & minority governments in NRW and shows that the latter put fewer pledges in their coalition agreement, but fulfill as many as majority coalitions. http://www.tandfonline.com/doi/full/10.1080/09644008.2018.1528235 https://t.co/7W9hsRmfrR
How do parties' issue emphasis and the positions they take vary on multiple political levels? Daniela Braun and Hermann Schmitt answer this question in their new article using both our and the Euromanifesto data. Spoiler: Parties behave quite sincerely. http://journals.sagepub.com/doi/abs/10.1177/1354068818805248 https://t.co/si0ngHmDVg
#CfP for our @manifesto_proj User Conference in March 2019 with keynote by @PatrickDiamond1 is out now! Deadline for Abstracts: 18.11.18 For more infos see: htpps://manifesto-project.wzb.eu/conference-2019 https://t.co/wOZSwxNi1t
“Therefore, a subjective or hermeneutic step is still required to be taken to adapt automated computer-assisted analyses to text classification.” (Kyoyo Shogaku Kenkyu) Anyone with hermeneutic alias Japanese skills who can tell us what is actually done with our data in the paper? https://t.co/oiIQjH9eQk
"Ein Forschungsgegestand spricht zu seinen Forschern". So beginnt der Bundespräsident #Steinmeier seine Rede am zweiten Tag der #dvpw18 und verweist auf die doch eher überschaubare Literatur zu seinem Amt. https://t.co/HEQRoXc6Ls
In his new article "The politics of social spending after the Great Recession: The return of partisan policy making" @TheLMSavage is using our data to show the increasing salience of Left-Right issues after 2008. Read more here: https://doi.org/10.1111/gove.12354 https://t.co/qdHA3pskd0
We are hiring! Looking for a research assistant (PhD student) from pol science or related, interest in parties, knowledge in statistics and/or automatic text analysis, experience in #stata #rstats or #python and knowld of german & english #poliscijobs https://wzb.eu/en/jobs/research-assistant https://t.co/eW8OSxpdsO
A personal note: I (@nicmer) will leave the manifesto project to start a new job and challenge at the @spdde . This account will be continued for the time being by the great @tionde_lisa . Stay tuned for a very interesting job opening with the best colleagues one can imagine!
If you present a paper making use of our data at #APSA2018 , we are happy to retweet and advertise your paper and panel.
Our server (website and api) will be down for maintenance from 6pm (CET) for (hopefully) maximum 24 hours. Sorry for the inconvenience.
Did you also sometimes miss a variable in our dataset that provides information on Gov/Opp status of a party? We now provide a tutorial that explains how to merge our data with @ParlGov data to get exactly that info: https://manifesto-project.wzb.eu/tutorials/parlgov_merge #tutorialthursday
New version of the Manifesto Project Dataset available now (2018a). With data for the following elections: Cyprus 2016, Mexico 2015, Netherlands 2017, USA 2016. https://manifesto-project.wzb.eu/datasets
Impressive recoding of a large part of our document collection/corpus in regard to parties' homeownership ideology. Published in the Socio-Economic Review https://doi.org/10.1093/ser/mwy030 https://t.co/LS1Tk8RxmU
Interesting analysis of Moroccan party manifestos by @SaadiaBoukraa using our coding methodology shows high similarities between Moroccan parties. https://saadiaboukraa.com/wp-content/uploads/2018/06/MOROCCAN-POLITICS-Comparative-and-Spatial-Study-of-Leading-Parties%E2%80%99-Manifesto-of-2016.pdf
Our website is currently down. We are still trying to identify the problem and are hopefully soon back online. Sorry for the inconvenience.
It is #tutorialthursday ! Learn how to use #rstats package #quanteda (by @kenbenoit) with the Manifesto Corpus. #textasdata https://manifesto-project.wzb.eu/down/tutorials/quanteda https://t.co/IUK3RxrSa2
We are happy to advertise papers using our data presented at #EPSA2018 . Tag us, we retweet! Besides that: Happy conference!
If you use any of the data you find on this website, please cite us. You find the correct citation for all datasets on all download pages. If you use the documents, please cite the Manifesto Corpus.