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All Journal Cakrawala : Jurnal Humaniora Bina Sarana Informatika Jurnal Mitra Manajemen Journal of Economic, Bussines and Accounting (COSTING) IJISTECH (International Journal Of Information System & Technology) Jurnal Sekretari Universitas Pamulang UNM Environmental Journals Management Studies and Entrepreneurship Journal (MSEJ) Jurnal Marketing IJISTECH Jurnal Administrasi Bisnis (J-Adbis) Proceeding National Conference Business, Management, and Accounting (NCBMA) DEDIKASI : Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Aplikasi Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Idah Yuniasih
Universitas Bina Sarana Informatika
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences Other

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Journal : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis

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Behavioral Finance in the Digital Age: How Social Media Influences Investment Decisions Idah Yuniasih; Nurul Aisyah; Rani Suryani
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 1 (2025): Maret : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i1.6519

Abstract

Retail investors today are heavily influenced by platforms like Reddit, TikTok, Twitter, and YouTube, where financial decisions are increasingly shaped by viral memes, influencer opinions, and emotionally charged content rather than company fundamentals or analytical research. Events such as the GameStop short squeeze and cryptocurrency pump-and-dump schemes illustrate how online communities can coordinate mass trading behavior, often driven by hype and group sentiment. This study examines how social media fuels behavioral biases like overconfidence, confirmation bias, and herding, while also enabling emotional contagion during market uncertainty—seen clearly during the COVID-19 crash. It explores how sentiment analysis models attempt to predict market movements using language data from posts and tweets, yet often fail to distinguish between authentic sentiment and manipulated signals generated by bots or coordinated campaigns. Influencers without financial credentials regularly offer investment “tips” that go viral, drawing millions of views but little regulatory oversight. These patterns show that behavioral finance must evolve to account for real-time, crowd-based, platform-driven investor behavior. Future work should compare platform-specific features—such as Reddit’s upvote dynamics vs. TikTok’s algorithmic exposure—and assess how misinformation, social validation, and low financial literacy combine to distort market behavior at scale.
Co-Authors A. Putri Djohar Tenri Waru Adianta Sebayang, Adianta Alsen Medikano Angelina Jola Arman Syah Putra Dahlia Sarkawi Daikoban, Damianus Dela Novitasari Destiana, Nadia Devia Natalia Eka Apriyanti, Eka Erian Fatria Haryati, R.Ati Heriston Sianturi Inggit Dessy Susanti Irma Puja Saputri Irmanda, Helena Nurramdhani Jola, Angelina khafanofa, widya Meilinda Radika Naautika, Ustin Luvita Nelfianti, Fera Ningrum, Raflesia Hana Novitasari, Dela Nurul Aisyah Nurul Aisyah Nurul Aisyah Panji Suratriadi Priadi, Agus R.Ati Haryati Rani Suryani Rani Suryani Ria Andriani Rooswhan Budhi Utomo Rosento Ruth Chika Prasetya S Sriyanto Suryani, Rani Susan Rachmawati Susanti, Inggit Dessy Teni Agustina Tjahjanto, Tjahjanto Wibowo, Ary Iswanto Wiwin Wianti, Wiwin Yunita Janah