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A variety of common markup showing how the theme styles them.
Single line blockquote:
Quotes are cool.
Entry | Item | |
---|---|---|
John Doe | 2016 | Description of the item in the list |
Jane Doe | 2019 | Description of the item in the list |
Doe Doe | 2022 | Description of the item in the list |
Header1 | Header2 | Header3 |
---|---|---|
cell1 | cell2 | cell3 |
cell4 | cell5 | cell6 |
cell1 | cell2 | cell3 |
cell4 | cell5 | cell6 |
Foot1 | Foot2 | Foot3 |
Make any link standout more when applying the .btn
class.
Watch out! You can also add notices by appending {: .notice}
to a paragraph.
This is an example of a link.
The abbreviation CSS stands for “Cascading Style Sheets”.
“Code is poetry.” —Automattic
You will learn later on in these tests that word-wrap: break-word;
will be your best friend.
This tag will let you strikeout text.
The emphasize tag should italicize text.
This tag should denote inserted text.
This scarcely known tag emulates keyboard text, which is usually styled like the <code>
tag.
This tag styles large blocks of code.
.post-title { margin: 0 0 5px; font-weight: bold; font-size: 38px; line-height: 1.2; and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows; }
Developers, developers, developers…
–Steve Ballmer
This tag shows bold text.
Getting our science styling on with H2O, which should push the “2” down.
Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.
This allows you to denote variables.
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I am an assistant professor of Data Science at William & Mary (W&M). Before joining W&M, I was a postdoc at the Observatory on Social Media (OSoMe), Indiana University, Bloomington. And before that, a research assistant and member of the Web Science and Digital Libraries (WS-DL) Research Group at Old Dominion University (ODU). I’m a Computer Science graduate of ODU (PhD: 2020, MS: 2014) and Elizabeth City State University (BS: 2011).
My research interests include Social media/network analysis, computational social science, web/data science, web archiving, (local)news, and NLP.
Dr. Alexander C. Nwala is an assistant professor of Data Science at William and Mary (W&M). Before joining W&M, he was a postdoc at the Observatory on Social Media, Indiana University, Bloomington, with a research focus on dis/misinformation diffusion, detection, and countering of online manipulation. He received his PhD in Computer Science at Old Dominion University and has contributed multiple important tools and datasets to the data/web science, social media, (local) news, and web archiving communities. Dr. Nwala has taught Computer Science courses to High School, Undergraduate, and Graduate students and has collaborated across disciplines and institutions, including with computer scientists/journalists at IU, archivists at the National Library of Medicine, and lawyers at Harvard. And his research has been published in multiple peer-reviewed Journals and Conferences including the ACM/IEEE JCDL, ACM HyperText, iPres, and ICWSM.
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