  Multiplayer Online Battle Arenas (MOBAs) have gained a significant player
base worldwide, generating over two billion US dollars in annual game revenue.
However, the presence of griefers, who deliberately irritate and harass other
players within the game, can have a detrimental impact on players' experience,
compromising game fairness and potentially leading to the emergence of gray
industries. Unfortunately, the absence of a standardized criterion, and the
lack of high-quality labeled and annotated data has made it challenging to
detect the presence of griefers. Given the complexity of the multivariant
spatiotemporal data for MOBA games, game developers heavily rely on manual
review of entire game video recordings to label and annotate griefers, which is
a time-consuming process. To alleviate this issue, we have collaborated with a
team of game specialists to develop an interactive visual analysis interface,
called GrieferLens. It overviews players' behavior analysis and synthesizes
their key match events. By presenting multiple views of information,
GrieferLens can help the game design team efficiently recognize and label
griefers in MOBA games and build up a foundation for creating a more enjoyable
and fair gameplay environment.
