Research task (Other):
Write a blog post that describes which single NBA player has been the most influential on the court and off the court in NBA history up until 2025. It should include intuitive explanations about their influence on their audience, the current generation of players, the next generation of players, the economy, and more. Create a non-biased mathematical way of calculating the score, incorporating the factors listed above along with accurate statistics.

Evaluation rubric:
criterion: The response takes a clear stance on exactly ONE NBA player as the most influential.
weight: 5
axis: Instruction Following

criterion: The response is structured as a blog post, with a casual tone, use of figures and/or tables, and a clearly structured layout with at least a headline, introduction, body and conclusion.
weight: 5
axis: Instruction Following

criterion: The response contains an explanation of the player’s influence on audience/fans (e.g., stadium attendance while he was playing, merchandise sales while he was playing, TV or other social media appearances, mentions on TV shows, radio shows and/or podcasts while he was playing).
weight: 4
axis: Explicit Criteria

criterion: The response contains an explanation of the player’s influence on the current generation of NBA players (e.g., players mentions of him, players copying and/or adapting his signature moves, coaching or mentorship).
weight: 4
axis: Explicit Criteria

criterion: The response contains an explanation of the player’s influence on the next generation of players (e.g., on youth, kids or future players that mention him as an idol, copy his moves, want him or have him as mentor / coach, purchase and/or wear his merchandise).
weight: 4
axis: Explicit Criteria

criterion: The response contains an explanation of the player’s influence on the economy (e.g., merchandise sales, for either his teams or his own brand(s), endorsements, media rights, or job creation).
weight: 4
axis: Explicit Criteria

criterion: The response describes at least one additional domain of influence beyond influence on their audience, the current generation of players, the next generation of players and the economy (e.g., social justice, global popularity, pop culture, causes that had a significant impact due to the player -like HIV due to Magic Johnson-).
weight: 4
axis: Explicit Criteria

criterion: Every basketball-specific abbreviation used (e.g., PER, TS%) is defined at its first appearance in the text.
weight: 3
axis: Communication Quality

criterion: The response provides at least two correct, verifiable on-court facts about each analyzed player (e.g., number of championships, MVPs, triple doubles, or career points).
weight: 3
axis: Implicit Criteria

criterion: The response contains factual errors about the player’s career achievements or business ventures (e.g., assigns another player’s championship total to this player, mentions he has played in teams other than his actual teams, mentions he supports causes that he hasn't supported, mentions he has a sporting clothes line that isn't his, etc).
weight: -4
axis: Implicit Criteria

criterion: The response attempts to use a non-biased mathematical way of creating a score to rank the candidates that are most influential (e.g. dependent on variables such as income generated for the NBA, money donated to non-profits, number of players that replicate their game, times player is mentioned in social media and matches broadcasts, etc.)
weight: 5
axis: Explicit Criteria

criterion: The response has the chosen "most influential player" matching with the player with the highest mathematical score.
weight: 5
axis: Synthesis of Information

criterion: The response incorporates at least two mathematical calculations that use a basketball-specific statistic to create the score (e.g., using total points scored during the players career, total assists, FT%, games played).
weight: 2
axis: Implicit Criteria

criterion: The response includes at least one sentence about how social media in the modern era has affected the influence that NBA players can have on others (e.g., reach with social media like X and Instagram is much more global, it provides a direct way of communication with fans, much faster and personalized interaction with fans, easier to advertise and monetize using social media, all of which has helped increased their influence)
weight: 2
axis: Synthesis of Information

criterion: The response explicitly differentiates between having a positive influence (e.g., Michael Jordan helping globalize the game by inspiring players worldwide, LeBron James being an educational activist and building schools, Magic Johnson breaking the HIV stigma by coming out, or Dirk Nowitzki being the first European star opening the path for more European players) vs. a negative influence that an NBA player can have on others (e.g., Allen Iverson with his style that ended in an official dress code imposed by the NBA, Gilbert Arenas who brought firearms to the lockers, Latrell Spreweel who promoted violence when he choked his coach, or Kobe Bryant who faced a sexual assault allegation early in his career).
weight: 4
axis: Implicit Criteria

criterion: The response mentions that its chosen player is the most influential, removing any debate / doubt that could be have based on different characteristics (e.g., playing style, age, economic influence or net worth) considering its chosen formula as the definitive answer.
weight: -3
axis: Synthesis of Information

criterion: The response calculates its most influential score based on its defined non-biased mathematical formula for at least 5 NBA players.
weight: 4
axis: Instruction Following

criterion: The response analyzes at least 6 of the following players: Michael Jordan, LeBron James, Magic Johnson, Shaquille O'Neal, Kobe Bryant, Larry Bird, Steph Curry, Bill Russell, Wilt Chamberlain, Dirk Nowitzki, Yao Ming.
weight: 3
axis: Implicit Criteria

criterion: The response provides accurate statistics throughout its analysis, grounding its claims and providing citations or links as needed (e.g., Magic Johnson playing 906 games in regular season, Michael Jordan's Air resence in the NBA as 5%-10% depending on the year, Yao Ming significantly increasing NBA's presence in China, LeBron James building the I Promise School).
weight: 4
axis: Explicit Criteria

criterion: The response correctly identifies and mentions unique characteristics for which some NBA players are known on the court  for all players analyzed (e.g., Michael Jordan's career stats, Steph Curry's shooting ability and focus on 3-point shoots, Magic Johnson redefining the guard position, Kareem Abdul-Jabar all time scoring leader until LeBron James).
weight: 4
axis: Synthesis of Information

criterion: The response provides accurate citations from at least 3 renowned websites (e.g., https://www.nba.com/stats, https://www.basketball-reference.com/, https://www.espn.com/nba/, https://www.nytimes.com/athletic/nba/, https://www.hoopshype.com/, https://www.wikipedia.org/)
weight: 5
axis: References & Citation Quality

criterion: The response correctly identifies and mentions unique characteristics for which some NBA players are known off the court for all players analyzed (e.g., Michael Jordan partnership with Nike on making the Air Jordans, Magic Johnson cultural impact for HIV destigmatization via public HIV diagnosis, Bill Russell as a civil rights activist and standing next to MLK, Shaquille O'Neal transitioning into movies (Blue Chips, Kazaam), music (rap albums), and TV.)
weight: 4
axis: Synthesis of Information