Ukuqhathanisa ukuchithwa kwebhizinisi ku-2025 - esekelwe ku-FTC, i-FBI IC3 ne-CFPB idatha, nge-year-over-year-context yayo izibalo zibonisa.
I-Americans Yakha Izingane I-15.9 Billion US $ I-Fraud Ngo-2025 - ukwandisa i-27% ukusuka ku-2024. Le nqakha ibonisa kuphela ukuhlangabezana. Abacwaningi zebhizinisi zihlanganisa inguqulo efanelekayo engaphezu kuka-$40 billion uma izimo ezingaziwa zihlanganisa.
I-Dynamics ye-catalogue ezintathu iveza indawo ye-2025. Okokuqala, i-cryptocurrency-method scam iye yahluka i-$11.3 billion kuzo zonke izinhlobo ze-escam – okwenza i-payment infrastructure, ngaphandle kwe-fraud type, isithombe esikhulu esisodwa se-impossibility yokuguqulwa. Okokuqala, i-social media iye yethule i-telephone ne-email njenge-channel yokuqala we-$2.1 billion e-percentage, i-38% ngonyaka ngamunye. Okokuqala, abantu abadala angama-50 nama-$4.3 billion e-percentage – engapheliyo ku-part of their population and reflecting of structural targeting patterns.
Izinqubo zihlanganisa inkulumo enhle: ukuhlangabezana kunzima ngokushesha kunezinto zokhuseleko ezisungulwe ukuhlangabezana.
I-category-level analysis ibonise ukuthi izinhlobo zokungcweliswa zibonisa imiphumela ephakeme ye-aggregate vs. imiphumela ephezulu ye-incident:
| ikhaya | Ukubuyekezwa | I-YYY ukuguqulwa | Ukulungiselela |
|---|---|---|---|
| Izimpendulo ze-Investment | $5.7B | +32% | $5,200 |
| Imposter Izimpendulo | $2.95B | +8% | $800 |
| Ukuhweba Online | $2.1B | +22% | $150 |
| Imibuzo Romance | $1.3B | +18% | $4,400 |
| I-Business Email I-Compromise | $1.4B | +15% | $25,000 |
| Job / Ukukhangisa Ukukhangisa | $501M | +44% | $2,200 |
| Ukusetshenziswa kwe-Tech Support Scams | $924M | +11% | $1,395 |
Umthombo: I-FTC Consumer Sentinel Network, isikhathi sokubhalisa ka-2025. I-median loss ibonise imiphumela yama-victim; imiphumela yama-middle iyahlukaniswa ngama-catastrophic i-individual cases.
Izimpendulo ze-investment zihlanganisa izimpendulo ezingu-agregate, ezikhuthazayo ikakhulukazi izindiza ze-pork slaughtering ezihlangene nezimali ze-cryptocurrency. I-$5,200 median loss ye-category ivimbela inombolo enhle kakhulu - phakathi kwezimpendulo ze-pork slaughtering ngokuvamile, izimpendulo ze-median zihlanganisa ku-$85,000.
Izimpendulo ze-imposter zihlanganisa inani elikhulu lwezimpendulo kodwa izimpendulo ezinguqile ezinguqile. Isakhiwo esihlanganisa imisebenzi zokuthintela okuphezulu - umthamo eliphezulu, ukunciphisa okuphansi ngamakhasimende ngamakhasimende. I-Compromise ye-imeyili yebhizinisi ibonise ngokuphindaphindiwe: impendulo ephakeme ngokuvamile ibonise kodwa ukunciphisa okuphezulu ku-$ 25,000, okuvimbela isakhiwo yayo yokuthintela ngamakhasimende ezinobukhulu.
I-Data ye-2025 ibonise ukuthi abacwaningi abacwaningi abacwaningi wamazwe ngexesha elide: indlela yokudluliselwa esetshenziselwa i-transaction yokudluliselwa ibonise imiphumela yokudluliselwa ngempumelelo kune-escam ngokulinganayo.
| Ukucaciswa | Ukukhangisa | Ukubuyekezwa kwesimo | Umhlahlandlela |
|---|---|---|---|
| ikhadi Credit | $5.7B | Ukuhlehlela | I-Fair Credit Billing Act (i-FCBA) |
| I-Debit Card | $1.8B | Ukuhlobisa | I-Electronic Fund Transfer Act (i-EFTA) |
| Wire Ukudluliselwa | $1.2B | Low (amahora kuphela window) | Ukuvikelwa kwebhanki |
| Izicelo ze-P2P (i-Zelle, i-Venmo, i-Cash App) | $1.4B | Ngaphansi kakhulu | I-Platform-Dependent |
| Imininingwane | $11.3B | Ukusebenza None | Akukho framework reversibility |
| Izithombe ze-cards | $217M | Ngaphandle | Akukho mechanism ukuguqulwa |
| I-Cash / i-Check | $89M | Ngaphandle | Akukho mechanism ukuguqulwa |
Izindleko ze-cryptocurrency zihlanganisa izigaba eziningi (i-investment, i-romance, i-impersonation) usebenzisa i-crypto njenge-mecanism yokudluliselwa. Le nqakraza ibonise inani elilodwa le-dollar eyahlukile ngokusebenzisa i-crypto, ayikho ama-crypto-specific scams.
Ukukhula kwe-41% ngonyaka-on-yonyaka ku-crypto-method scam - okusheshayo kunoma ezinye izigaba ze-payment - ibonise izici ezimbini ezivela. Ukusetshenziswa kwe-cryptocurrency mainstream iye ukwandisa idolobha ye-potential victims nge-accessible crypto akhawunti. Ngesikhathi esifanayo, ama-fraudsters zihlola ngokuvamile ku-crypto njenge-methode yayo yokuthumela ngenxa ye-irreversibility izici zayo.
Izingane ezingu-50 ezingu-2025 zihlanganisa izindleko ze-$4.3 billion ze-fraud — 27% kwezingane ezingu-35% yabantu abadala, ngokuvumelana ne-35% yabantu abadala. Ukulungiswa Izinzuzo, okuyinto zihlanganisa ku-65%.
| Ukulungiselela | Umthombo we-18-49 | Ukulungiselela 50+ | Ukulungiswa |
|---|---|---|---|
| Ukusetshenziswa kwe-Tech Support Scams | $200 | $1,395 | 7.0x |
| I-Impersonation ye-Baby | N / A (esigcwele) | $9,000+ | N/A |
| I-romance scams (i-high-value) | $2,800 | $12,400 | 4.4x |
| Izimpendulo ze-Investment | $3,200 | $15,200 | 4.8x |
| I-Medicare / I-SSA Imposter | N / A (esigcwele) | $1,800 | N/A |
| Ukuhweba Online | $120 | $245 | 2.0x |
"N / A (okungabonakali)" ibonisa izigaba ze-escam ezikhishwe cishe kuphela ama-demographics ezidlulileyo, okwenza ukuhlanganiswa kwe-cohort ngokuvamile engatholile.
I-differential ayikho ngempumelelo. Three structural factors compound:
Ukubuyekezwa kwezimali. Umdlavuza abadala ngokuvamile unezingeni ezingaphezu, i-home equity, ne-accessible investment accounts. Izilinganiso ezingaphezu zitholakala zithumela ukulungiswa okuningi - ama-fraudsters zihlanganisa ngokuvumelana nokukwazi kwama-asset ngesikhathi kwezinyathelo eziningana ze-escam.
Ukucaciswa kwe-Infrastructure Scam. Izigaba eziningana ze-scam zokusebenza njengama-operations eyenziwe-for-elderly. Izimpendulo ze-tech support zihlanganisa ukujabulela okungaziwa kwezindaba ze-system error. Ukukhangisa kwe-baby-grandchild zihlanganisa izakhiwo zokuxhumana. Ukukhangisa kwe-Medicare ne-SSA zihlanganisa kwezimpendulo ze-authority deference ezivamile kwama-cohorts abadala. Lezi zimpendulo ezivamile ezivela ukujabulela ama-victims abadala - zihlanganisa ngokuvamile zihlanganisa izimpendulo ze-age-adult.
Ukuvikelwa okufakiwe. Izixhobo ze-premium ye-consumer security eziza ku-identity-theft monitoring services, ama-antivirus-payment suites, ama-VPN-payment, ama-anti-phishing filters ezihlangene ku-$50-100 ngonyaka. Ukuze abalandeli abalandeli abalandeli, lezi izindleko zihlanganisa izixazululo zokusebenza kwezimali. I-demographic eyenziwe kakhulu ku-fraud iyona i-demographic engaphakeme ukuthenga ukhuseleko esedlulile.
Umthombo we-fraud - le platform noma umkhakha wokuthumela ukuxhumana okuqala - uye wahluka kakhulu eminyakeni eminyakeni edlule. Ukuguqulwa okungenani kakhulu: i-social media uye kwenziwa kwinkhaneli yokuqala yokufakelwa.
| Ukukhangisa | 2020 Ukuhlobisa | I-2025 Ukulinganiswa | Ngena ngemvume |
|---|---|---|---|
| Imininingwane | 18% | 40% | Ukubuyekezwa |
| Ngena ngemvume | 34% | 23% | Ukubuyekezwa |
| Izithombe | 28% | 19% | Ukubuyekezwa |
| SMS / Umbhalo | 9% | 11% | +2 ppm |
| Iwebhusayithi / Search | 7% | 5% | 2pp |
| Ngaphandle | 4% | 2% | 2pp |
I-Channel share isekelwe ekhompyutha yokuqala ebhalwe yi-victim. I-Total Losses per channel iyahlukaniswa ngokufanayo - izivakashi ze-telephone zihlanganisa engaphansi kwe-proportion of origination volume ngenxa ye-per-incident high losses (i-vishing average: $1,395+).
Ngezinye izindaba ze-2025 ze-socially-originated fraud, i-platform attribution was:
| Imininingwane | % Izindaba ze-Social-Oriented | Uhlobo lokuqala Scam |
|---|---|---|
| Ngena ngemvume | 39% | Ukuhambisa, Ukuhambisa, Ukuhambisa |
| Ngena ngemvume | 27% | Ukuhambisa izimpendulo, Fake Ads |
| Ngena ngemvume | 11% | I-romance scams, ukuhweba |
| Ukubuyekezwa | 7% | Investment, crypto umlilo umlilo |
| Ngena ngemvume | 6% | Ukuhweba izimpahla, get-rich-quick |
| Ngaphandle | 10% | Ukuhlobisa |
Ukuguqulwa kwe-social-channel ibonise ama-dynamics eziningana ezintathu. Okokuqala, isakhiwo se-advertising emakhasimende asebenzise ukucaciswa kwe-demographic kanye ne-behavioral - ama-fraudsters asebenzise izixhobo efanayo yokusebenzisa amakhasimende ezijwayelekile. Okokuqala, isakhiwo se-visual ye-social media ibonise ukucaciswa okuhlobene, okuhlobene ngokuchofoza okuhlobisa ukucacisa. Okokuqala, ukucaciswa kwe-algorithmic yama-content ibonise ukucacisa izixhobo kubasebenzisi abasebenzayo kunazo (njenge-imeyili).
Ukukhula kwe-38% ngonyaka ngonyaka ku-social-originated fraud loshisa kakhulu ukukhula kokusetshenziswa kwe-social media ngokuvamile - okuvumela ukuthi ama-fraudsters akhiqiza ngaphezulu ngamahora wokusebenzisa kulezi zepulasitiki.
I-2025 yonyaka lokuqala lapho impahla eyenziwe nge-AI kubaluleke kakhulu ukucubungula ukusebenza kwe-fraud. Iziqinisekiso zibonisa ukucubungula ngezindlela ezintathu ezibonakalayo:
Ukubuyekeza isignali erosion. I-heuristics yokukhipha kwe-phishing ye-traditional - ama-greek errors, ama-phrasing emangalisayo, ama-maltern patterns eyenziwe ngempumelelo - iye bashiwa ngokushesha. Ama-e-mail security analysts zithumela ukuthi inqubo ye-phishing e-mail yokukhipha kwe-content-based detection iyahambile ukusuka ku-2023.
Ukukhishwa kwe-voice cloning. I-imagination ye- grandchild ne-family emergency scams iyahlukaniswa nge-accessible voice cloning. Abalandeli angakwazi manje ukukhiqiza amaphrojekthi amaphrojekthi kusuka ku-content ye-social media e-publishable. I-2025 ubunzima we-scams ye- grandchild (i-$9,000+) ikwazi ukunciphisa isikhathi esilandelayo esilandelayo esilandelayo kwe-AI, njengoba ubuchwepheshe litholakala kakhulu kuphela ekupheleni kwe-2024.
I-Synthetic Identity Imininingwane. I-romance scams, ikakhulukazi i-pork slaughtering operations, isetshenziselwa ngokuvamile i-AI-generated profile photos ezivela ukucubungula ukucubungula-image-search. I-reverse-search the photo isixazululo yokuzonwabisa okungagunyaziwe.
I-Federal Reserve's Consumer Survey ye-2025 ihlolwe ukuthi i-13.6% ye-US adults - cishe ama-35 million abantu - idolobha uhlobo lwezinto ze-intanethi ngonyaka. Futhi ku-US $1,500 ubunzima ngalinye, inani olungagqibekanga engaphezu kuka-$52 billion.
| Ukucaciswa | % Non-Reporters Izithombe |
|---|---|
| Ukuphazamiseka / Ukuphazamiseka | 43% |
| I-Belief Reporting Ayikwazanga | 38% |
| Ukungcweliswa ku-Where to Report | 29% |
| Imininingwane Imininingwane Imininingwane Imininingwane Imininingwane Imininingwane | 24% |
| Ukubhalisa kwebhanki kuphela | 22% |
| Izinzuzo ze-privacy ku-reporting | 11% |
Izizathu ezininzi zingatholakala. Ukuhlolwa kwama-2400 abacwaningi abacwaningi abacwaningi.
Ukwakhiwa kwe-underreporting kubalulekile analytically. I-factor eningi (i-embarrassment) ibonisa ukuthi amabhizinisi amabhizinisi amakhulu amabhizinisi amabhizinisi amabhizinisi amabhizinisi – amabhizinisi amabhizinisi amabhizinisi, amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi amabhizinisi.
Lezi zihlanganisa zihlanganisa kubaluleke ukuthi izibalo zibonakali zihlanganisa kanye nokuhlukaniswa kwe-fraud jikelele kanye nokuhlukaniswa kwe-burden eyenza ama-populations eyenziwe ngempumelelo kanye ne-digital.
Izimpendulo eziningana ze-2025 zihlanganisa indawo yokuthintela ye-2026:
Ukulungiswa kwe-Crypto-Method iyahambisana. Ukukhula kwe-41% ngonyaka-on-yonyaka ku-cryptocurrency-method fraud ibonise isixazululo sokwakhiwa kwezakhiwo, akuyona isixazululo se-cyclic. Abacwaningi babe ama-incentive enhle yokuthumela amashishini nge-infrastructure yokudluliselwa. I-trend iyaqhubeka ngaphandle kokuphumelela kwe-regulatory ku-exchange level.
Ukulungiswa kwe-Pig Carnage kuya kubhalwe ngokwemvelo. Okwakhiwa ku-South-East Asian criminal operations, ama-pork slaughtering networks zithunyelwe e-North America naseYurophu ngo-2025. I-UN report ibonisa ukuthi ama-trafficked-worker compounds eCambodia, Myanmar, Laos, nePhilippines zithunyelwe umthamo yokusebenza kwezinsizakalo ezinkulu kakhulu kunazo ziye zithunyelwe ngaphambi kokufika. Izimali ngamakhasimende (i-$ 85,000 median) zibonisa imodeli enikezwayo emkhakheni yokukhuthaza kwezimpendulo.
I-AI i-sofistication iyakwazi ukukhuthaza. I-2025 lashukumisa umphumela wokuqala we-AI ku-fraud quality. I-technology iyahambisana ngokushesha kunama-detection systems. Qaphela ukuchithwa kwe-voice emangalisayo, ukuchithwa kwe-phishing emangalisayo, ukuxhumana kwe-profile emangalisayo.
I-demographic disparities ingangena ngokushesha ngaphandle kokusebenzisana. Ukuvikelwa kwe-structural protection gap esidala isixazululo se-market failure. I-population eyenziwe kakhulu yi-fraud ibhizinisi ibhizinisi engaphakeme ukufinyelela izixhobo ze-payment protection. Ngaphandle kwezinhlangano ezingenalutho ezingenalutho ezingenalutho ezingenalutho ezingenalutho ezingenalutho ezingenalutho ezingenalutho ezingenalutho ezingenalutho.
I-Responsibility ye-social media ibekwe isiko esikhulu se-open policy. I-Platform yenza i-$2.1B yama-2025 yama-fraud ngenkathi yenza izimpahla ze-advertising eziningana nezinkampanini. Izinzuzo eziningana zokulawula ukuhlolwa kwama-advertiser ye-advertiser ye-advertising product ads, izinhlelo zokusebenza okusheshayo ze-fraud take-down, kanye nezinsizakalo zokusabela izimpahla ze-platform-originated ziye zihlala ekupheleni ngonyaka. Iziphumo zibonisa kakhulu indawo ye-2026.
Ukuhlolwa okuqukethwe ku-Data primary:
Uma lokhu ukuhlaziywa kubonisa izibalo, izibalo zihlanganisa izihlangu zihlanganisa. Izihlangu zayo zayo, kuhlanganise izimo ezihlangulwe, zihlanganisa izibalo zihlanganisa 2-3x ngokuvamile ngokuvumelana nezibalo zemfundo kanye nezinsizakalo. Ukuhlaziywa kwe-social media platform ngaphakathi kwezindaba ze-fraud zihlanganisa ngokuvumelana nezihlangu futhi kungase zihlanganisa ezinye izihlangu zihlanganisa.
I-Cohort comparisons ye-median losses isetshenziselwa idatha ye-FTC ye-age-bracket. I-Year-over-Year comparisons isetshenziselwa idatha e-FTC Sentinel eyenziwe ngokuvumelana nemibala emibi phakathi kweminyaka.
U-Federal Reserve Survey data kubonisa ukuthi ingxenye ephelele, kuhlanganise izimo ezingenalutho, iyatholakala ku-$ 52 billion. I-discrepancy ibonise i-underreporting ephilayo eyenziwe ikakhulukazi ngempumelelo kanye ne-scepticism mayelana nemibuzo yokukhula.
Izimpendulo ze-investment zithunyelwe i-$5.7B kwezimali ezihlaziywa - i-category elikhulu ye-single - eyenziwe ikakhulukazi nge-operations ye-pork slaughtering ezihambisana ne-cryptocurrency. Ngokuhambisana ne-payment method, izimpendulo ze-cryptocurrency ezihlaziywe kuzo zonke izigaba zithunyelwe i-$11.3B, okwakhiwa inkulu kakhulu ye-payment-method aggregate.
Umphakeli we-compounding ezintathu: Ukukhishwa kwama-asset kuvumela ukuchithwa okuphakeme kakhulu, isakhiwo se-escam specific (i-tech support, impersonation ye-ungcele, i-Medicare imposter) yenzelwe ngokulandelana nezimpendulo ze-adult-old, futhi ingxenye yokuthengisa kwezixhobo ze-payment protections ivumela ama-demographic eyenziwe nge-access engaphansi ku-commercial defences. I-per-incident loshishino ye-adult 50+ ibhizinisi-2-7x engaphezulu kunama-cohorts amancane kunazo zonke izigaba ze-escam.
I-credit cards inikeza izinga lokuguqulwa okusheshayo ngenxa ye-Fair Credit Billing Act protections, okuyinto ivimbele ukhuseleko ku-$50 ngoba izindleko ezingenalutho futhi inikeza amalungelo yokuguqulwa. Izinga lokuguqulwa kwandisa ngokushesha nge-debit cards (EFTA), i-wire transfers (i-banking cooperation eqinile), izicelo ze-P2P (ukudluliselwa okungenani), kanye ne-cryptocurrency (ngokuthi akukho inqubo yokuguqulwa). I-cards ye-cadeau akuzange ukuguqulwa.
I-social media ingxenye yama-fraud origination yandisa kusuka ku-18% ngo-2020 kuya ku-40% ngo-2025. Amaklayenti ezintathu zezakhiwo zikhuthaza ukuhlaziywa: isakhiwo se-advertising yokuthintela okuvumela ukwahlukanisa ama-victim ngokunemba, izindlela zokubonisa okuvuma ama-signals yokuthintela ama-fraud ezivamile, kanye ne-content discovery ye-algorithmic eyenza i-containers yokuthintela ngokuvumela abasebenzisi ngokuvumelana (njenge-imeyili).
Izici ze-FTC zihlanganisa kuphela ukulayishwa kwezimpendulo futhi zihlanganisa kakhulu imiphumela efanayo. Izici ye-Federal Reserve ye-population survey zibonisa ukuthi cishe 35 million Americans zihlanganisa ukulayishwa ku-2025 - cishe 13.6% yama-adult. Ukungabikho kwama-FTC zihlanganisa ukulayishwa okungenani okwenziwe ikakhulukazi ngempumelelo (43% ka-non-reporter), ukuhlangabezana kokuthunyelwa (38%), kanye nokumangaliseka mayelana nezindlela zokuthunyelwa (29%).
I-Pig slaughter is a organized criminal operation pattern combining romance manipulation with fake cryptocurrency investment schemes. It is traced separately because median losha per-victim ($85,000) kuyinto eliphezulu kakhulu kunama-romance traditions ($4,400) noma ezinye izimpendulo zokuthutha, futhi izakhiwo zezimpendulo (i-Southeast Asian compounds with trafficked workers, multi-stage crypto laundering networks) ingahlukile kakhulu kusuka ku-individual-fraudster operations.
I-2025 yonyaka yokubonisa imiphumela ye-AI enesilinganiselwe ku-fraud effectiveness. Amamodeli ezithile zihlanganisa: ukunciphisa ama-grammatic kanye ne-stylistic detection signals ezivamile ku-phishing, i-voice cloning enikezela ukuhlangabezana kwezimpendulo ezingenalutho ezingenalutho, izithombe ze-profile eyenziwe yi-AI ezivela ukuhlangabezana kwe-reverse-image-search ku-romance scams, kanye ne-content ye-phishing e-scale eyenza i-heuristics yokubonisa i-email ezivamile.
I-Crypto-Method Scam yandisa i-41% ngonyaka ngamunye — okusheshayo kunoma ezinye izigaba ze-payment. Amadivayisi amabili ehlanganisiwe: Ukusetshenziswa kwe-cryptocurrency emaphandleni i-population of potential victims with accessible crypto accounts, futhi ama-fraudsters zithunyelwe ngokuvumelana ne-crypto njengendlela yokukhokha ebonakalayo ngenxa ye-irreversibility izici zayo. Njengoba ukhuseleko lwabathengiswa nge-credit cards kanye ne-banking ezivamile, i-fraud zithunyelwa nge-infrastructure ngaphandle kokumelana nezinsizakalo.
I-Florida, i-Georgia, i-Nevada, i-Delaware, ne-Maryland zithunyelwe izinga eliphezulu zokusabela kwezimpendulo ze-fraud per capita ngo-2025. Izingane zezwe zihlanganisa isakhiwo se-demographic (ukudluliselwa kwama-retiree angathuthukisa izinga le-per-capita), izakhiwo ze-fraud ezihlangene, kanye nezinhlangano zokuthunyelwa kwezakhiwo. Izimpendulo ze-per-capita akufanele zihlanganisa nezimpendulo ze-per-capita - ezinye amazwe ezinama-volume ephezulu zihlanganisa izimpendulo zihlanganisa izimpendulo ezingaphakathi ngamakhasimende.
I-Business email compromise (BEC) ithatha i-phishing ephakeme enikeza izidakamizwa ze-executives, abathengisi, noma amakhasimende ukuhlangabezana nezinsizakalo zebhizinisi. I-$ 25,000 median loss ibonise ingozi yayo ephakeme kumakhasimende ezinobuchwepheshe. I-BEC ephakeme ($ 1.4B) ibhizinisi engaphakeme emakethe yebhizinisi, kodwa imiphumela ye-per-incident iyatholakala kakhulu ngenxa ye-business context - ama-fraudsters abacwaningi ama-wire transfers ezihambisana nezinsizakalo zebhizinisi ezigcwele.
Izakhiwo ezine zibonakalayo zihlanganisa ngezinyathelo zebhizinisi ze-2025: ukuhweba okuqhubekayo ku-infrastructure yokudluliselwa okuqhubekayo (i-crypto ne-P2P), ukuthuthukiswa kwesakhiwo se-pornographic ye-pornographic operations, ukuthuthukiswa kwamakhemikhali we-AI ekuphileni izinhlelo zokusebenza zokubonisa, kanye nokuvuthwa kwezinhlobonhlobo zezinambuzane ngaphandle kokusebenzisana kwegama lokuxhumana. I-social media platform accountability ibekwe isithombe esikhulu esifundeni esifundeni esifundeni ye-2026.