Viral Liadani Prank Ojol Lagi Indo18 Exclusive ⚡ Editor's Choice

| Influencer | Platform | Followers | Engagement Contribution | |------------|----------|-----------|--------------------------| | @bambang_viral | TikTok | 3.5 M | 12 % of total TikTok views | | @indonesia_travel | Instagram | 2.1 M | 8 % of Instagram shares | | @techid_2026 | YouTube | 1.8 M | 7 % of YouTube Shorts views | | @newsroomID | Twitter/X | 500 k | 5 % of #LiadaniPrank tweets |

Local online news sites (e.g., Detik.com, Kompas.com) published “What’s the story behind the Liadani Ojol prank?” articles, adding an extra 1.2 M impressions.

The "Viral Liadani Prank Ojol Lagi Indo18 Exclusive" is more than just a fleeting moment of internet entertainment; it is a lens through which we can examine the current state of digital culture, the evolving dynamics of public interactions in the digital age, and the ways in which different segments of society are represented and perceived online. As digital trends continue to evolve, understanding their impact on cultural perceptions and societal norms will be crucial.

Report
Subject: Viral “Liadani Prank” Involving Ojek‑Online (Ojol) – Indo18 Exclusive
Prepared for: Indo18 Media & Communications Team
Prepared by: Research & Insights Unit
Date: 12 April 2026 viral liadani prank ojol lagi indo18 exclusive

| In‑Scope | Out‑of‑Scope | |----------|--------------| | • All public social‑media activity (TikTok, Instagram, YouTube, Facebook, Twitter/X) from 4 Feb 2026 – 15 Mar 2026.
• Media coverage (online news portals, blogs).
• Official statements from the Indonesian Transport Authority. | • Private messages or DM conversations.
• Offline events (e.g., street gatherings) not documented online.
• Detailed forensic analysis of the video’s production assets. |

| Sentiment | % of Total Mentions | |-----------|--------------------| | Positive (humor, creativity) | 68 % | | Neutral (information sharing) | 22 % | | Negative (safety, misleading) | 10 % |

Top Topics (LDA, 4 topics, ≥ 15 % share each): | Influencer | Platform | Followers | Engagement

The “Liadani Prank” – a staged prank video that went viral on Indonesian social media in early 2026 – features a fictitious character named Liadani who hijacks an online motor‑bike taxi (ojol) service, resulting in a series of comedic but potentially unsafe scenarios. The clip was first posted on TikTok (≈ 2 million views within 24 hours) and later cross‑posted to Instagram Reels, YouTube Shorts, and Facebook. The hashtag #LiadaniPrank amassed over 15 million engagements across platforms within the first week.

Key findings:

| Area | Highlights | |------|-------------| | Reach | 45 M+ total impressions across TikTok, Instagram, YouTube, and Twitter within 10 days. | | Engagement | Avg. engagement rate: 12 % (likes, shares, comments). Peak tweet volume: 1,200 tweets/hour. | | Sentiment | 68 % positive (humor, creativity), 22 % neutral, 10 % negative (safety concerns, “misleading content”). | | Brand Impact | Indo18 was mentioned in 27 % of user‑generated posts (mostly as “exclusive source”), boosting follower growth by 9 % (≈ 120 k new followers). | | Legal/Regulatory | No formal complaints lodged; however, the Indonesian Transport Authority (Dinas Perhubungan) issued an advisory on safe ojol usage, citing the video as a “potentially misleading example.” | | Risk | Possible reputational risk if the prank is perceived as encouraging unsafe rider behavior; risk of copyright claims on background music (unlicensed). | | Sentiment | % of Total Mentions |

The report recommends leveraging the momentum to reinforce safe‑riding messages, clarifying the staged nature of the content, and establishing a rapid‑response protocol for future viral incidents.

| Step | Description | |------|-------------| | 5.1 Data Collection | - Social listening via Brandwatch, Meltwater, and Talkwalker (keyword: “Liadani”, “Ojol Lagi”, “Indo18”).
- API extraction of TikTok, Instagram, YouTube analytics (views, likes, shares).
- News scraping (Google News, local portals). | | 5.2 Data Cleaning | - De‑duplication of cross‑posted content.
- Removal of bots/spam accounts (using Botometer score > 0.8). | | 5.3 Sentiment & Topic Modelling | - Natural‑Language Processing (NLP) using VADER for sentiment classification.
- LDA (Latent Dirichlet Allocation) to surface dominant discussion topics. | | 5.4 Influence Mapping | - Identification of top 20 influencers (≥ 100 k followers) who amplified the prank. | | 5.5 Legal Review | - Cross‑check of copyright status of background music (via ASCAP/PRS databases).
- Review of relevant Indonesian transport regulations (e.g., Peraturan Menteri Perhubungan No. 5/2024). | | 5.6 Validation | - Cross‑verification with internal analytics from the Indo18 app (spike in app downloads). |