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Andreas Graefe
Andreas Graefe
Professor, Business School, Macromedia University
Verified email at macromedia.de - Homepage
Title
Cited by
Cited by
Year
Burst of the filter bubble? Effects of personalization on the diversity of Google News
M Haim, A Graefe, HB Brosius
Digital Journalism 6 (3), 330-343, 2018
4822018
Guide to Automated Journalism
A Graefe
Tow Center for Digital Journalism, Columbia Journalism School, 2016
4132016
Towards pervasive computing in health care–A literature review
C Orwat, A Graefe, T Faulwasser
BMC medical informatics and decision making 8, 1-18, 2008
3372008
Methods to elicit forecasts from groups: Delphi and prediction markets compared
KC Green, JS Armstrong, A Graefe
Foresight: The International Journal of Applied Forecasting 2007 (8), 17-20, 2007
3302007
Readers’ perception of computer-generated news: Credibility, expertise, and readability
A Graefe, M Haim, B Haarmann, HB Brosius
Journalism 19 (5), 595-610, 2018
2882018
Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task
A Graefe, JS Armstrong
International journal of forecasting 27 (1), 183-195, 2011
2722011
Combining forecasts: An application to elections
A Graefe, JS Armstrong, RJ Jones Jr, AG Cuzán
International Journal of Forecasting 30 (1), 43-54, 2014
230*2014
Golden Rule of Forecasting: Be Conservative
JS Armstrong, KC Green, A Graefe
Journal of Business Research 68 (8), 1717-1731, 2015
2252015
Accuracy of Vote Expectation Surveys in Forecasting Elections
A Graefe
Public Opinion Quarterly 78 (S1), 204-232, 2014
1332014
Automated news: Better than expected?
M Haim, A Graefe
Digital journalism 5 (8), 1044-1059, 2017
1092017
Key performance indicators to benchmark hospital information systems–a Delphi study
G Hübner-Bloder, E Ammenwerth
Methods of Information in Medicine 48 (06), 508-518, 2009
982009
Automated journalism: A meta-analysis of readers’ perceptions of human-written in comparison to automated news
A Graefe, N Bohlken
Media and communication 8 (3), 50-59, 2020
882020
Predicting elections from biographical information about candidates: A test of the index method
JS Armstrong, A Graefe
Journal of Business Research 64 (7), 699-706, 2011
852011
Predicting elections from the most important issue: A test of the take‐the‐best heuristic
A Graefe, JS Armstrong
Journal of Behavioral Decision Making 25 (1), 41-48, 2012
842012
Prediction markets for foresight
A Graefe, S Luckner, C Weinhardt
Futures 42 (4), 394-404, 2010
672010
Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems
A Graefe, H Küchenhoff, V Stierle, B Riedl
International Journal of Forecasting 31 (3), 943-951, 2015
652015
Improving forecasts using equally weighted predictors
A Graefe
Journal of Business Research 68 (8), 1792-1799, 2015
602015
German Election Forecasting: Comparing and Combining Methods for 2013
A Graefe
German Politics 24 (2), 195-204, 2015
492015
A recap of the 2016 election forecasts
JE Campbell, H Norpoth, AI Abramowitz, MS Lewis-Beck, C Tien, ...
PS: Political Science & Politics 50 (2), 331-338, 2017
412017
Adopting pervasive computing for routine use in healthcare
C Orwat, A Rashid, C Holtmann, M Wolk, M Scheermesser, H Kosow, ...
IEEE Pervasive Computing 9 (2), 64-71, 2010
392010
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