  The rise of online media has incentivized users to adopt various unethical
and artificial ways of gaining social growth to boost their credibility within
a short time period. In this paper, we introduce ABOME, a novel multi-platform
data repository consisting of artificially boosted (also known as
blackmarket-driven collusive entities) online media entities such as Twitter
tweets/users and YouTube videos/channels, which are prevalent but often
unnoticed in online media. ABOME allows quick querying of collusive entities
across platforms. These include details of collusive entities involved in
blackmarket services to gain artificially boosted appraisals in the form of
likes, retweets, views, comments, follows and subscriptions. ABOME contains
data related to tweets and users on Twitter, YouTube videos and YouTube
channels. We believe that ABOME is a unique data repository that can be used as
a benchmark to identify and analyze blackmarket-driven fraudulent activities in
online media. We also develop SearchBM, an API and a web portal that offers a
free service to identify blackmarket entities.
