Jelle W. Boumans|Damian Trilling
Taking Stock of the Toolkit
University of Amsterdam|University of Amsterdam
analyzing digital journalism content journalism scholars confronted number substantial differences compared traditional journalistic content sheer amount data unique features digital content call application valuable new techniques various scholarly fields already applying computational methods study digital journalism data often research interests closely related journalism scholars despite advantages computational methods traditional content analysis methods commonplace digital journalism studies increase awareness computational methods offer take stock toolkit show ways computational methods aid journalism studies distinguishing dictionarybased approaches supervised machine learning unsupervised machine learning present systematic inventory recent applications inside well outside journalism studies conclude suggestions application new techniques encouraged