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Anti-vax movement has different approaches, some groups deliberately misleads about vaccination, others have genuine fears and doubts about it. Along the 4 months studied, the anti-vaccine movement recruits undecided or fearful people, faster than pro-vaccine groups. It seems like some false arguments spread better than verified information.
Even though Twitter has been marking a lot of tweets as “misleading”, there is a lot of different new streams against vaccines. Some of them with powerful, creative and viral “memes”. Although they are jokes, data shows a dangerous combination between ignorance and comedy, because an important part of the people pass from the jokes to the anti-vaccination communities.
COM-209
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People
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Tweets
Power profiles
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.
Hashtags
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Tokens
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State participation
| Region | People | Tweets | Reach | Reach percentages |
| California | 4,626 | 13,455 | 61,840,045 | 12.62% |
| New York | 2,877 | 9,078 | 162,320,829 | 33.11% |
| Texas | 2,486 | 5,922 | 14,045,529 | 2.87% |
| Florida | 1,696 | 5,489 | 15,074,612 | 3.08% |
| District of Columbia | 1,184 | 4,095 | 68,898,398 | 14.06% |
| Arizona | 524 | 1,440 | 2,223,968 | 0.45% |
| New Mexico | 116 | 372 | 1,103,514 | 0.23% |
| Totals | 13,509 | 39,851 | 325,506,895 | 66.41% |
Gender
| Professions | Gender | People | Percentages | Reach |
| Journalist/Reporter | female | 1,658 | 12.33% | 8,130,544 |
| Journalist/Reporter | male | 1,401 | 10.42% | 5,186,477 |
| Journalist/Journalist | male | 586 | 4.36% | 2,915,635 |
| Journalist/Journalist | female | 453 | 3.37% | 1,110,532 |
| Student/Student | male | 385 | 2.86% | 369,325 |
| Student/Student | female | 211 | 1.57% | 78,998 |
| Artist/Producer | male | 346 | 2.57% | 347,138 |
| Artist/Producer | female | 318 | 2.36% | 558,337 |
| Artist/Artist | female | 226 | 1.68% | 115,573 |
| Artist/Artist | male | 119 | 0.89% | 236,166 |
| Teacher & Lecturer/Teacher | female | 314 | 2.33% | 289,712 |
| Teacher & Lecturer/Teacher | male | 143 | 1.06% | 133,142 |
| Totals | 6,160 | 45.79% | 19,471,579 |
Conversation sentiment
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COM-1239
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People
0
Tweet
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Power profiles
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.
Hashtags
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Tokens
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State participation
| Region | People | Tweets | Reach | Reach percentages |
| New York | 850 | 4,345 | 100,486,477 | 73.18% |
| California | 866 | 2,895 | 4,044,896 | 2.95% |
| Florida | 373 | 1,389 | 3,749,223 | 2.73% |
| District of Columbia | 274 | 1,375 | 7,188,810 | 5.24% |
| Texas | 481 | 1,336 | 1,998,108 | 1.46% |
| Arizona | 74 | 203 | 152,702 | 0.11% |
| New Mexico | 18 | 75 | 169,229 | 0.12% |
| Totals | 2936 | 11,618 | 117,789,445 | 85.78% |
Gender
| Professions | Gender | People | Percentages | Reach |
| Journalist/Reporter | female | 328 | 8.62% | 5,794,595 |
| Journalist/Reporter | male | 310 | 8.15% | 1,908,496 |
| Journalist/Editor | male | 149 | 3.92% | 754,182 |
| Journalist/Editor | female | 61 | 1.60% | 206,592 |
| Student/Student | male | 95 | 2.50% | 83,012 |
| Student/Student | female | 20 | 0.53% | 170,786 |
| Executive/Founder | male | 88 | 2.31% | 1,578,599 |
| Executive/Founder | female | 26 | 0.68% | 93,794 |
| Scientist & Researcher/Scientist | male | 137 | 3.60% | 200,819 |
| Scientist & Researcher/Scientist | female | 6 | 0.16% | 1,773 |
| Executive/Entrepreneur | male | 99 | 2.60% | 660,142 |
| Executive/Entrepreneur | female | 5 | 0.13% | 4,836 |
| Totals | 1324 | 34.81% | 11,457,626 |
Conversation sentiment
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COM-25
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People
0
Tweet
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Power profiles
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.
U.S. FDA
@US_FDA
@US_FDA
CDC
@CDCgov
@CDCgov
moderna_tx
@moderna_tx
@moderna_tx
Dr. Stephen M. Hahn
@SteveFDA
@SteveFDA
JamesEKHildreth
@JamesEKHildreth
@JamesEKHildreth
Hashtags
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Tokens
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State participation
| Region | People | Tweets | Reach | Reach percentages |
| District of Columbia | 509 | 2,496 | 32,446,044 | 26.65% |
| California | 788 | 1,990 | 4,765,897 | 3.92% |
| New York | 571 | 1,880 | 11,171,849 | 9.18% |
| Florida | 406 | 1,415 | 5,095,822 | 4.19% |
| Texas | 487 | 1,366 | 2,555,345 | 2.10% |
| Arizona | 380 | 1,154 | 7,373,848 | 6.06% |
| New Mexico | 11 | 27 | 8,730 | 0.01% |
| Total | 3152 | 10,328 | 63,417,535 | 52.09% |
Gender
| Professions | Gender | People | Percentages | Reach |
| Journalist/Reporter | female | 381 | 8.83% | 1,345,270 |
| Journalist/Reporter | male | 278 | 6.44% | 1,155,147 |
| Journalist/Journalist | female | 152 | 3.52% | 417,485 |
| Journalist/Journalist | male | 126 | 2.92% | 560,120 |
| Executive/Commissioner | male | 116 | 2.69% | 4,002,084 |
| Executive/President, Politician/Senator | male | 104 | 2.41% | 772,803 |
| Artist/Stylist | female | 78 | 1.81% | 1,111 |
| Health practitioner/Physician | male | 77 | 1.79% | 325,252 |
| Student/Student | male | 73 | 1.69% | 37,572 |
| Teacher & Lecturer/Professor | male | 72 | 1.67% | 142,194 |
| Artist/Producer | male | 71 | 1.65% | 91,956 |
| Journalist/Editor | female | 69 | 1.60% | 347,541 |
| Totals | 1597 | 37.02% | 9,198,535 |
Conversation sentiment
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