@article{FuchssStieglitzHillmann2008,
  author    = {Fuchß, Christoph and Stieglitz, Stefan and Hillmann, Oliver},
  title     = {Ad-hoc messaging network in a mobile environment},
  year      = {2008},
  language  = {en}
}
@article{StieglitzLattemann2008,
  author    = {Stieglitz, Stefan and Lattemann, Christoph},
  title     = {An Approach to Ad-hoc Messaging Networks Using Time Shifted Propagation},
  year      = {2008},
  language  = {en}
}
@article{LattemannKupkeSchneideretal.2008,
  author    = {Lattemann, Christoph and Kupke, S{\"o}ren and Schneider, Anna Maria and Stieglitz, Stefan},
  title     = {Broadband diffusion with Public Private Partnerships?},
  year      = {2008},
  language  = {en}
}
@article{LattemannStieglitz2006,
  author    = {Lattemann, Christoph and Stieglitz, Stefan},
  title     = {Coworker governance in open-source projects},
  isbn      = {978-0-444-52769-1},
  year      = {2006},
  language  = {en}
}
@article{KapidzicFreyNeubergeretal.2023,
  author    = {Kapidzic, Sanja and Frey, Felix and Neuberger, Christoph and Stieglitz, Stefan and Mirbabaie, Milad},
  title     = {Crisis communication on Twitter},
  series = {International journal of communication},
  volume    = {17},
  journal   = {International journal of communication},
  publisher = {The Annenberg Center for Communication},
  address   = {Los Angeles, Calif.},
  issn      = {1932-8036},
  pages     = {735 -- 754},
  year      = {2023},
  abstract  = {The study explores differences between three user types in the top tweets about the 2015 "refugee crisis" in Germany and presents the results of a quantitative content analysis. All tweets with the keyword "Fl{\"u}chtlinge" posted for a monthlong period following September 13, 2015, the day Germany decided to implement border controls, were collected (N = 763,752). The top 2,495 tweets according to number of retweets were selected for analysis. Differences between news media, public and private actor tweets in topics, tweet characteristics such as tone and opinion expression, links, and specific sentiments toward refugees were analyzed. We found strong differences between the tweets. Public actor tweets were the main source of positive sentiment toward refugees and the main information source on refugee support. News media tweets mostly reflected traditional journalistic norms of impartiality and objectivity, whereas private actor tweets were more diverse in sentiments toward refugees.},
  language  = {en}
}
@article{LattemannStieglitz2006,
  author    = {Lattemann, Christoph and Stieglitz, Stefan},
  title     = {eLearning Strategien f{\"u}r das universit{\"a}re Massenstudium : zuk{\"u}nftige Herausforderungen und L{\"o}sungswege},
  isbn      = {3-631-54961-X},
  year      = {2006},
  language  = {de}
}
@article{LattemannKupkeSchneideretal.2006,
  author    = {Lattemann, Christoph and Kupke, S{\"o}ren and Schneider, Anna-Maria and Stieglitz, Stefan},
  title     = {Financial funding and organizational models in Public Private Partnerships for broadband projects in Europe},
  year      = {2006},
  language  = {en}
}
@article{LattemannStieglitz2005,
  author    = {Lattemann, Christoph and Stieglitz, Stefan},
  title     = {Framework for Governance in Open Source Communities},
  isbn      = {0-7695-2268-8},
  year      = {2005},
  language  = {en}
}
@article{LattemannKupkeStieglitzetal.2007,
  author    = {Lattemann, Christoph and Kupke, S{\"o}ren and Stieglitz, Stefan and Fetscherin, Marc},
  title     = {How to govern virtual corporations},
  year      = {2007},
  language  = {en}
}
@article{KupkeLattemannStieglitz2010,
  author    = {Kupke, S{\"o}ren and Lattemann, Christoph and Stieglitz, Stefan},
  title     = {Knowledge governance in virtual corporations},
  isbn      = {978-3-86573-532-4},
  year      = {2010},
  language  = {en}
}