Publications
2015
Mladenow, Andreas; Novak, Niina Maarit; Strauss, Christine
Online Ad-fraud in Search Engine Advertising Campaigns: Prevention, Detection and Damage Limitation Konferenzbeitrag
In: You, Ilsun; Xu, Li Da; Neuhold, Erich; Tjoa, A. Min; Khalil, Ismail (Hrsg.): Information and Communication Technology, S. 109–118, Springer International Publishing AG, 2015, ISBN: 978-3-319-24314-6, (Publisher Copyright: textcopyright IFIP International Federation for Information Processing 2015.).
Abstract | Links | BibTeX | Schlagwörter: Availability, Online Ad-fraud, Online advertising, Online campaigns, Paid-search, Reliability, SEA, Search engine advertising, Search engine marketing, Security, SEM, Typology
@inproceedings{ffc409e0763c48b69a8ad40ab32df4ab,
title = {Online Ad-fraud in Search Engine Advertising Campaigns: Prevention, Detection and Damage Limitation},
author = {Andreas Mladenow and Niina Maarit Novak and Christine Strauss},
editor = {Ilsun You and Li Da Xu and Erich Neuhold and A. Min Tjoa and Ismail Khalil},
doi = {10.1007/978-3-319-24315-3_11},
isbn = {978-3-319-24314-6},
year = {2015},
date = {2015-01-01},
booktitle = {Information and Communication Technology},
volume = {9357},
pages = {109--118},
publisher = {Springer International Publishing AG},
abstract = {Search Engine Advertising has grown strongly in recent years and amounted to about USD 60 billion in 2014. Based on real-world data of online campaigns of 28 companies, we analyse the incident of a hacked campaignaccount. We describe the occurred damage, i.e. (1) follow-up consequences of unauthorized access to the account of the advertiser, and (2) limited availability of short-term online campaigns. This contribution aims at raising awareness for the threat of hacking incidents during online marketing campaigns, and provides suggestions as well as recommendations for damage prevention, damage detection and damage limitation.},
note = {Publisher Copyright: textcopyright IFIP International Federation for Information Processing 2015.},
keywords = {Availability, Online Ad-fraud, Online advertising, Online campaigns, Paid-search, Reliability, SEA, Search engine advertising, Search engine marketing, Security, SEM, Typology},
pubstate = {published},
tppubtype = {inproceedings}
}
2014
Bauer, Christine; Mladenow, Andreas; Strauss, Christine
Fostering collaboration by location-based crowdsourcing Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization and Engineering, S. 88–95, Springer International Publishing AG, 2014, ISBN: 978-3-319-10830-8.
Abstract | Links | BibTeX | Schlagwörter: BWL, CMI, Collaboration, Collaborative Crowdsourcing, LBCS, Location-based Crowdsourcing, Location-dependency, Mobile crowdsourcing applications, Social communities, Time-dependency, Typology
@inproceedings{ab86b6ecf19e41fea8da7dce9e97fd19,
title = {Fostering collaboration by location-based crowdsourcing},
author = {Christine Bauer and Andreas Mladenow and Christine Strauss},
editor = {Yuhua Luo},
doi = {10.1007/978-3-319-10831-5_13},
isbn = {978-3-319-10830-8},
year = {2014},
date = {2014-01-01},
booktitle = {Cooperative Design, Visualization and Engineering},
volume = {Cham},
pages = {88--95},
publisher = {Springer International Publishing AG},
series = {Lecture Notes in Computer Science},
abstract = {Crowdsourcing is a recently developed method that relies on variousalternatives of collaboration to solve problems efficiently. Crowdsourcing is arecent development to solve a variety of problems efficiently, and whichimplies various alternatives of collaboration. However, as novel technologiesare able to exploit location-sensing capabilities of mobile devices, locationbasedcrowdsourcing (LBCS) developed as a new concept. This paper suggestsa typology for LBCS as a means for fostering collaboration with the crowdthrough three types of LBCS: confirmation-based, digital good-based, andphysical-based. Each type is underpinned with exemplary applications.Furthermore, opportunities and challenges are analysed; and future trends inLBCS are discussed.},
keywords = {BWL, CMI, Collaboration, Collaborative Crowdsourcing, LBCS, Location-based Crowdsourcing, Location-dependency, Mobile crowdsourcing applications, Social communities, Time-dependency, Typology},
pubstate = {published},
tppubtype = {inproceedings}
}