One warning is all it takes — Nur Syazwani Ahmad
SEPTEMBER 19 — Today, online scams are no longer an issue that only affects people who are considered “naive...
September 19 — In today's digital age, online scams are no longer limited to people who are often considered "naive" regarding technology. Anyone, from educated professionals to active social media users, can become a target of cybercrime. Scams now exploit human vulnerabilities, such as fear, excitement, greed, sympathy, and pressure to act without careful consideration.
Victims may be highly proficient in using online banking applications or regularly using email and social media, but still fall prey to scams due to these vulnerabilities. Instead of merely blaming the victims for being unintelligent or lacking technological knowledge, it is crucial to understand that scams manipulate decision-making processes.
To combat this issue, digital literacy should encompass the ability to evaluate information, identify manipulation signs, verify details, and make safe decisions. This is particularly important as technology continues to evolve, with scammers now using advanced AI to create more convincing messages, images, and even voices that resemble real individuals.
To protect ourselves and our communities, we must develop a habit of pausing before acting on any suspicious messages. Verify the information through official channels and contact the relevant organization using trusted sources. Families play a vital role in this process, as digitally confident individuals can serve as trusted references for less experienced family members.
Encourage a culture where asking questions is welcomed and not ridiculed. Additionally, when sharing information about scams, focus on educating others about the tactics used by scammers rather than merely warning them about the potential consequences. Finally, do not be afraid to admit if you have been scammed; doing so can help break the stigma and enable others to learn from the experience.
Written by urgent.news from Malay Mail's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.