Spammming: meaning, definitions and examples
๐ฉ
spammming
[ spรฆmษชล ]
sending messages
Spamming refers to the act of sending unsolicited or irrelevant messages over the internet, typically to a large number of users. This is often done for commercial purposes, such as advertising, but can also include the distribution of malicious software. Spamming can occur in various forms, including email spam, social media spam, and comments spam.
Synonyms
bombarding, flooding, jamming.
Examples of usage
- I received numerous spam messages in my inbox.
- He was banned for spamming the chat room.
- The company was criticized for spamming potential customers.
- She learned to recognize spam emails and avoid them.
Translations
Translations of the word "spammming" in other languages:
๐ต๐น spamming
๐ฎ๐ณ เคธเฅเคชเฅเคฎเคฟเคเค
๐ฉ๐ช Spam
๐ฎ๐ฉ spamming
๐บ๐ฆ ัะฟะฐะผัะฝะณ
๐ต๐ฑ spamowanie
๐ฏ๐ต ในใใ ่ก็บ
๐ซ๐ท spam
๐ช๐ธ spam
๐น๐ท spam gรถndermek
๐ฐ๐ท ์คํธ ๋ฉ์ผ
๐ธ๐ฆ ุฑุณุงุฆู ุบูุฑ ู ุฑุบูุจ ูููุง
๐จ๐ฟ spamovรกnรญ
๐ธ๐ฐ spamovanie
๐จ๐ณ ๅๅพ้ฎไปถ
๐ธ๐ฎ spamiranje
๐ฎ๐ธ rusl
๐ฐ๐ฟ ัะฟะฐะผ ะถัะฑะตัั
๐ฌ๐ช แกแแแแแก แแแแแแแแ
๐ฆ๐ฟ spam gรถndษrmษ
๐ฒ๐ฝ spam
Etymology
The term 'spam' is believed to have originated from the Hormel Foods Corporation, renowned for their canned meat product known as Spam. In the late 1970s, the term began to be applied to the digital world, primarily in reference to the excessive and unsolicited messages sent via email. Its use was popularized in the early days of the internet when users began to notice an influx of disruptive and unwanted messages in their email accounts and on bulletin board systems. The analogy drawn between the canned meat product and the bombardment of unwanted messages was evident due to the idea of 'spamming' one's inbox with overwhelming amounts of content. Over the years, the meaning of branding changed as the internet evolved, encompassing not just unsolicited emails but also social media messages, comments, and other forms of electronic communication that are intrusive and unwanted. Today, spamming is a significant issue for users and companies alike, leading to the development of various filtering technologies and regulations aimed at mitigating its prevalence.