Edukasi Literasi Digital sebagai Respons terhadap Krisis Disinformasi Berbasis AI pada Komunitas Perempuan di Bintara, Kota Bekasi

Abstrak

The development of generative artificial intelligence—such as deepfakes and voice cloning—is accelerating the spread of disinformation in Indonesia and eroding public trust in digital information. Mothers serve as key nodes for information distribution within family ecosystems but are prone to sharing information without verification. The "Cek Sebelum Cekcok" (Check Before Conflict) community service program was designed to strengthen the digital literacy of women aged 30–50 in Bintara Urban Village, Bekasi City—specifically targeting elderly members of the Prolanis program identified through social mapping—grounded in the frameworks of cyberethics (Ess, 2009) and post-truth epistemology (McIntyre, 2018). Program implementation began with participatory social mapping involving field observations and informal interviews, followed by an in-person talk show featuring speakers from academia, regulatory bodies, and the digital industry, alongside participant comprehension assessments using pre-test and post-test instruments. Social mapping revealed that the ecosystem of resident conversation networks is not homogeneous: Neighborhood Association (RT) groups were relatively safe from hoaxes, whereas Community Association (RW) groups and Prolanis groups were most vulnerable to manipulative content; consequently, digital literacy interventions needed to be tailored to each network layer rather than employing a uniform approach. Pre- and post-test results from 150 respondents showed an improvement in the ability to identify AI-generated content: the proportion of respondents who correctly identified all videos rose from 11.3% (17 respondents) in the pre-test to 68.0% (102 respondents) in the post-test. The program recommends replicating this intervention model—based on social mapping and network differentiation—in other urban areas with similar characteristics, alongside continuous monitoring of changes in information verification behavior.